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Utilising Machine Learning To Combat IoT Security Nightmare

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There can be no doubt: inanimate objects are getting ‘smarter’.

First there were smartphones, mobile telephones designed to cram in features such as web browsing, email and camera technology. These features have since become so standardised that any phone that does not encompass this level of connectivity is referred to as a ‘dumbphone’. Then there were smart televisions, allowing full access to internet services and with enough processing power to compete with traditional set-top boxes.

Then the real advancement was unleashed to the unsuspecting world: the internet connected toaster. This breakthrough in particular points to an increasingly connected future where every device in the home will be connected to the internet and able to be remotely controlled. This is the crux of ‘The Internet of Things’ (IoT), with no limit on the type of device or appliance.

There is, however, a number of glaring security issues that have yet to be fully addressed. Many smart televisions, for example, are running widely adopted operating systems that rely on software updates to patch any potential security loopholes. With such a range of devices, the necessary software updates require extensive testing on each model to ensure full compatibility, slowing the release of future software updates. There are also smart televisions that contain a built-in camera and microphone for video calling and voice control. How would a user know if their device is hacked and is recording their living room? The small print of some manufacturers even points to built-in third-party access.

While this Orwellian fear may sound farfetched, it is not completely unfounded. Widespread reports of laptops having their webcams and microphones hacked, highlighted by Facebook CEO Mark Zuckerberg taking evasive action and physically cover both on his laptop, are evidence that any internet-enabled device has the potential to be under the control of a hacker. If devices are linked, it would only take the weakest link to be breached for every other device to be under control and a user’s privacy breached. This was evidenced when US retailer, Target, was hacked in 2013 through the internet-enabled climate-control systems.

With more mature operating systems, antivirus software will offer a degree of protection. This is not yet an option for the internet devices that have only been released for a short time, such as the multimedia computer in a range of cars for sale in the USA. The threat that hackers pose over the future of IoT devices was highlighted in an experiment where a car was remotely controlled, with the exploit allowing full control over the car while it was being driven. As the car was being driven at 70 mph, the screen wash was activated, covering the windscreen, the radio turned up to maximum volume and the accelerator pedal disabled – all possible over the internet.

So what’s next for IoT devices in drastic need of robust security? One potential solution is to harness the power of machine learning to significantly increase the speed of identifying potentially vulnerable devices.

As many devices rely on stable internet connection to function correctly, it would not be difficult for each device to upload diagnostic reports to a unified database of devices that could, in turn, identify devices with potential issues, such as running out-of-date firmware. By utilising machine learning to calculate shared issues, patches could be issued at a much faster rate due to the testing stage effectively being analysed and ‘learned’ from the continually updating database.

This approach could also be used to empower the user, as developers could actively encourage their customers to report any issues. This has a two-pronged effect on security – users are made aware that security is of great importance and they are partly responsible for its maintenance, and the machine learning process is more effective because of the increase in data available for analysis.

Dynamic Bayesian Networks (DBNs) also offer a means to enhance security while offering an approach to the interconnected nature of devices rather than a single-view of individual cases that only evolve over time. Determining causal relationships between security breaches would enable manufacturers to be prepared for particular variables, such as location, and alter firmware updates accordingly to target specific vulnerabilities or device-specific security flaws that are taken advantage of in specific locations. In practise, a network would grow naturally to allow for reliable information on specific security measures that are required, allowing manufacturers to stay one step ahead of potential hacks.

IoT devices have a unique opportunity to enhance everyday items for consumers. For manufacturers, however, the rush to include a multitude of features has backfired spectacularly, leaving devices wide open to hackers on an industrial scale. Without the right level of technical support, IoT devices will not mature and will not be recognised by the mainstream audience this technology deserves. For a long-term investment such as IoT, companies must invest in technology, such as machine learning, that will enhance their security in the long run and not just fix each issue one at a time.


Do Passwords Have A Future?

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Organizations are constantly looking into newer methods and technologies to make their network more secure mainly because they are concerned about all of the hacks occurring. Using passwords only for applications with secure data is just not safe enough anymore. Many recent surveys have shown that organizations believe that password will be phased out in the next couple of years, but why? Is this really true? And, if so, why don’t people like passwords as a security method anymore?

Organizations are no longer using passwords for many reasons. They believe that passwords alone can cause a security risk that may lead to their network being compromised. The most very common reason is that they are apprehensive that their employees are using very simple passwords that hackers can easily subvert. In turn, to mitigate this issue they often require employees to use complex passwords for all of their logins. For example, within your organization you might have employees use upper case, letters, numbers, special symbols, etc. in each of their passwords. This, however, leads to the other common issue that many people and organizations encounter.

Employees often write down their passwords. If you walk past the cubicle or desk of many employees you will often see Post-it notes on their computer screen, on their wall, on their phone, etc. with the passwords to all of the systems and applications that they use.

This is because of the very difficult complex credentials that they are required to use for all of their applications. End users can typically remember two or three sets of complex credentials. After that, they need some way to remember them, which is, most likely, an unsecure method. Both of these very common issues have left many people thinking that the password is dying and that newer technology is required.

While yes, the issues described above are a security risk, there are many reasons why I believe newer technology will be implemented by many companies, but that passwords won’t completely be phased out. There will be new technologies, though, added methods to make the authentication process more secure, which are already being utilized.

One popular method is by adding an additional layer of security with two-factor authentication. This second form of identification method is nothing new, but the actual form has been changing and becoming more advanced in more recent years. Biometrics has been something that many organizations have been using as a second form of identification and is gaining in popularity. Biometrics is the use of the human body or traits to verify who they are. Such methods use human voice, retinal scanning, facial recognition or fingerprint to authenticate a user, the most common being fingerprint or a facial scan. Amazon has gained much publicity recently for using facial recognition for its payment process. The technology requires the user to take a picture of themselves to authenticate they are who they claim to be.

Other even newer technologies are also being developed that can be used as the second form of authentication, such as behavioral biometrics. This is the use of a unique identifying action of the end user. An example of this would be the way in which someone types to enter their password. When someone types they have a unique pattern that can be linked to the user. Behavioral software allows an end user to only be authenticated if they enter their password using their unique typing pattern. This, of course, requires the user to still use a password, but uses their typing pattern as the second factor of identification.

This type of two-factor authentication can be used with every device and even with cloud applications, which means that employees who are working remotely can receive the same benefits. It also ensures that the company can thoroughly authenticate employees who are outside of the network while still keeping the company’s databases and applications safe.

While many people believe that the password is no longer secure, and will be dying off in the next decade or so, I believe it will still be around, just being enhanced with additional layers of security technology.

How To Digitally Detox On Vacation

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Many years ago when you were on vacation, before Facebook, Instagram and Twitter were invented (assuming you were an adult then), you had a great time, right? You weren’t “connected,” because there was no social media to be connected with.

If today you can’t imagine being disconnected from social media while on vacation, ask yourself how this can be, if years ago, you never missed what had not yet been invented.

And what about constantly checking e-mail while on vacation? Or constantly perusing various websites with your mobile while at the beach?

Intel did a recent study

  • 55% of Americans can’t disconnect while vacationing.
  • Two-thirds actually wanted to disconnect (detox), but less than half actually did so.
  • But when they did disconnect, 88% reported feeling okay about it and connecting better with travel mates.

Motivation to Detox

  • Know that cybercrooks are banking that vacationers do not disconnect.
  • Vacationers are especially vulnerable when they use public Wi-Fi, as cyberthieves can “snoop” on login entries and steal login information (such as to your bank, or get your credit card number when you online shop at the coffee house).
  • Can’t stay away from your e-mail when vacationing? Cybercrooks can gain access here, too.
  • Though installation of a virtual private network will prevent cyber snooping, it won’t prevent shoulder surfing, or thieves using high powered cameras to capture what you’re doing across the coffee house.
  • Of course, your devices should have security software that’s always updated.
  • Your devices should be password-protected as well.
  • Before embarking on your vacation (and not a few days before, but a few weeks before), practice disconnecting for 24 hours. If you must check your e-mail daily for business purposes, at least practice disconnecting from social media for 24, even 48 hours. Can you do it?
  • Can you stay off your mobile device while waiting at the dentist’s office or at the motor vehicle agency?
  • These “home” practice sessions can help you overcome withdrawal symptoms of not checking Twitter, Facebook or e-mail every 10 minutes.

Unstructured Data

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Data is gold for those who know how to evaluate it. Big and small, all kinds of companies have one thing in common. They can all be laid to waste if even the seemingly least important data gets in the hands of the wrong person. There is protected corporate data that every company has. This data consists of the company’s biggest secrets and important corporate information. Special care is taken to ensure the safety of such data because with this information, even an amateur can ruin everything you have worked so hard for. High levels of encryption software, firewalls and alarming systems are placed to protect this information. But it is the overlooked data which is the main topic of concern.

Why you need a fail proof strategy for protecting Unstructured Data?

Data such as e-mails, office documents, personally identifying information, material non-public information, intellectual property and financial reports etc. needs to be protected. Such data is scattered everywhere from various computer hard drives, emails, messenger histories, shared folders etc. The term given to such data is unorganized data. Volumes of unorganized data have been growing thrice the size of corporate protected data. Imagine the amount of files we’re talking about here.

Factually speaking, it is such unorganized data that makes up 80% of all the company’s data. It includes Microsoft Word documents, PDF files, and database extracts that contain important information about the companies. Keeping such high volumes of information unprotected is a big risk for exposing potential merger and acquisition plans, competitive intelligence, customer information, proprietary research etc. It’s problems like these that can mean the end of a company. To avoid any such malicious happenings to your company, it is best suggested to take action as soon as possible.

What steps you need to take to protect unstructured data?

The first step to protect such data is to analyze what is important and what is not. Figuring out what passes as sensitive data is the first process of this elongated plan to safeguard your important data. Next comes tracking down each and every bit of this data from all the potential sources it can be found in. This process can be a tad bit tedious, purely because of the sheer mighty volume of such content.

Next you need to find out who has the authority to access this data. You never know when there are rats festering in your company. One of your “trusted” employees who has access to such information could be a mole transporting information to your competitors. Data access with no business justification is what increases the risk of sensitive data being leaked. Technologies have been developed to limit the number of people with access to important information. Only people who have real business with the information should be allowed access to such information.

Hadoop based tools, being larger data tools, are specially formulated to identify, manage and resolve the unstructured information. On the other hand, the conventionally used tools based on technologies like data warehousing, and those for Business Intelligence (BI) are incapable of this. Although they have been supporting the management of unstructured data, and certain IT companies have also constructed such platforms for their own use, through, for example, knowledge management systems; but still the process is not satisfactory, being very expensive and also extremely time-consuming!

Data has been a big part of a business long before even computers were invented. Huge libraries filled with physical documents were managed by companies. Imagine the kind of hassle it would’ve been. However, getting into an establishment, and having enough time to go through all this information, let alone steal it sounds rather impossible. Now fast forward to 2016 where pentabytes worth of data is stolen, modified without knowledge, or erased by mistake daily. Technology has sure made it easier to store information without acquiring real estate. But it has also made it easier for people with bad intentions to break into unprotected or cheaply protected systems to acquire important information.

Conclusion

While data protection has been given top priority since the starting, it’s the structured data that has gained fatherly love from its owners. The unstructured data has been out there floating in the various mediums, waiting to be picked up by someone who values it enough. It’s high time that proper strategies and software were employed to avoid potential theft of data from the company.

The Future Of Organizational Security

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One decade ago, identity management as a concept and solution set was the strongest available for “limited” security at most organizations. Since then, that technology has become less desirable because of its single approach to handling tasks. The emergence of access governance, on the other hand, is like the younger, much bigger brother of identity management. The technology is more robust and much more adept at helping you monitor who is touching, changing and even manipulating your data.

Access governance evolved from a series of single solutions that allowed for the assignment of employee access rights based on an employee’s role within an organization to technology that monitors employee access and privilege rights across an organization’s entire spectrum. In other words, governance technology is able to govern who has access to what systems and allows you to see who is doing what, where and when in your organization.

The reason for this is because your data is under attack. If you are like most, you have decided that you must move to a more holistic approach where rather than serving individual segments, the access governance software can protect every area of an organization. We are in a time where enhanced data security is a necessity and tighter controls of organizational operations.

Access governance technology shows a level of control of information as driven by organizational policy and procedure, providing your organization with a web of access, a blanket, if you will, that covers everyone’s rights in the organization according to their role. Should the role change or the individual leaves the organization, the access is immediately and automatically revoked — not always necessarily the case in identity management.

The rise in the importance of access governance solutions is because of increased emphasis on regulatory compliance, growing awareness of, and sensitivity to, the insider threat and a heightened concern for overall IT security. As you know, we need better insight into who is using our systems and resources, when, how and why.

Informational audits are a necessity and access governance means you can gain insight into compliance processes, automatically, with no manual oversight required. Because of such technology — which you are seeing rolled out across businesses of industry, educational entities, manufacturers, and healthcare organizations. Each of these sectors are taking more ownership of their own organizational security and where they had previously focused on passwords and basic rights management, they are now focused on proper access and data protection.

Access governance is the grown up version of identity and access management. Security is a central focus of the technology now, not just getting people into systems they “need” to do their jobs. The reasoning for this is simple: Operating a robust access governance policy allows organizations the ability to better monitor their environments to protect against evil activity, and report these findings in the event that you must do so.

In a nutshell, we’re witnessing a maturing of technology and security, and strengthening of cyber-security policies that help organizations, municipalities, schools and hospitals save billions of dollars, while providing seamless and secure experience to users. As we continue to move forward in this sector of the industry, we’ll continue to see organizations take an even more robust stance on completely integrated access governance systems.

Big times ahead for the industry and no small achievement for the gains we are making, but the decade ahead is likely to be filled with even more evolution ahead.

AI – The Future Of Cybersecurity?

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Today’s advanced technologies, including AI and machine learning, are bringing about a cybersecurity landscape in which organizations are far more protected than was possible before.

Detection and elimination of traditional threats and zero-day exploits must rely on advanced data collection and analysis, machine learning, and predictive and behavioral analytics.

AI can automatically detect anomalous events without the need for new upfront rules. On the incident management, customers are drowning in false alerts – the rules triggered, but the incident turned out to be benign – an opportunity to automate this process using AI

AI and intelligent technologies do perform some lower-level remediation, such as blocking malware, they’re not mature enough to launch full-scale defenses against potential attacks. You still need humans for that.

Cybersecurity technologies – specifically AI and machine learning applications – are making headway by providing basic protections that organizations lack. Expect an arms race as hackers power up their own AI toolkits.

Due to its dynamic nature, security best practices are harder to achieve in cloud computing environments. A cloud-native approach is needed for a holistic view of security and compliance risk.

As we’ve seen in the headlines, reacting to what has already been seen or experienced is proving ineffective. With artificial intelligence, the future of predictive and preventative cybersecurity has arrived.

It’s no surprise breaches go undiscovered for 146 days on average. Companies are over-reliant on AI, machine learning, and SIEMs. The future of cybersecurity technology is the right balance between automation and intelligence.

More breaches, increasingly advanced threat actors, and higher stakes are going to require more advanced defenses and practices. AI and ML are a natural response to these ever increasing challenges.

In the very near future, both cyber attacker and cyber defenders will have AI-algorithms that adapt in near-real time, resulting into a cyber warfare with very little human intervention.

Current state – Very basic AI capabilities and cyber prevention mechanisms. Future state – we’ll start seeing more advanced techniques especially with threat protection and the increase in encryption algorithms.

AI shouldn’t start from scratch. The right framework can amplify human experience and leverage existing knowledge to automate cybersecurity threat detection and generate results that make sense.

Orchestration and automation are key, where thousands of sensors will be embedded within the corporate network, feeding data into systems determining the real threats using machine learning and anomaly detection.

Organizations must adopt a holistic view of their cyber-threat environment, and technology must evolve to minimize false positives. Security teams need these advances to properly focus on their highest-priority threats.

As companies increasingly emphasize employees as a defense layer, and with advances in ML, we’ll see more attacks detected by the combination of human and machine, rather than one alone.

Mixed Reality Of Smart Home Technology

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Low-end smart home technology that features little to zero security is a key concern that the industry will soon be forced to address — especially with IoT-based botnet attacks on the rise.

Consumers expect convenience and comfort from smart homes, but aren’t prepared for complex configurations and vulnerabilities. Like small business networks, smart homes require similar levels of security, maintenance, and support.

As it stands right now, most connected devices jump through hurdles to get out to the internet. Technologies like Bluetooth 5 and Thread are making it simpler to get every device *securely* connected to the internet.

Soon, we’ll see the proliferation of smaller and lower cost smart home devices (locks, lights, thermostats and more). Coming after will be new interfaces such as voice, touch and gesture.

Today, smart home systems are completely wireless and bi-dimensional. You can control the whole system with a mobile app, from any place in the world and such solutions are getting more and more safe.

The smarthome is fragmented with competing protocols and no link between them. The future will see consolidation, with central hubs playing the pivotal role of unifying and controlling the house.

Smart home technology has changed and continues to change our lives. With appliances/ utilities being controlled by smartphone, we are more in control than ever of aspects in our lives.

People are unsure if they should invest in smart home technology. Companies need to focus on educating customers about enhanced security and continue advertising the convenience and efficiency perks.

Smart Home tech is more than an efficiency, life hack or gimmicky tech solution – the benefits extend to improving our environmental impact, minimising energy waste, improving health outcomes and making our homes safer.

Connectivity At The Expense Of Safety

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Smart homes have the potential to be the next mass market and represent a green field of opportunity, provided the industry can get a few crucial things right. Part of the increasingly ubiquitous Internet of Things (IoT), smart homes started out with connected light bulbs and thermostats and expanded to include a number of home appliances and audio devices, and perhaps most importantly, home security.

According to recent analysis by Machina Research, such devices now number 6 billion, and the market for these smart home options continues to expand. However, if the industry is to be a sustainable, secure offering for consumers, then smart homes and apps need to expand their security defences alongside their connectivity.

A key aspect of the smart home is wireless home security—motion sensors can switch on lights when they detect you walking through the door, wireless keyhole cameras can provide information about visitors and allow you to open your door from anywhere, and smart locks automatically secure your home when your phone drops out of range of your router. But what about the security of the devices themselves?

A recent study from researchers at the University of Michigan exposed serious security flaws in popular smart home devices that can leave homeowners vulnerable to hacking and other threats. The study is the first in-depth empirical security analysis of a popular emerging smart home programming platform, Samsung’s SmartThings.

Researchers focused on the programming framework, as it is the substrate that unifies applications, protocols, and devices to realise smart home benefits. They discovered that attackers can remotely and covertly target design flaws in the framework, resulting in potential arson, theft, home intrusion, and more.

The study identified two key areas of risk. Firstly, that SmartApps are overprivileged; that is, SmartApps can gain access to more operations on devices than their functionality requires.

For example, the ‘auto-lock’ SmartApp only requires the lock command of ‘capability.lock’ but also gets access to the unlock command, thus increasing the attack surface if the SmartApp were to be exploited.

The second major risk identified was in the SmartThings event subsystem, which devices use to communicate asynchronously with SmartApps via events. The subsystem does not sufficiently protect events that carry sensitive information, such as lock codes. Any app with access to a device’s ID can monitor all the events of that device.

Researchers also exploited framework design flaws to construct four proof-of-concept attacks that secretly planted door lock codes, stole existing door lock codes, disabled the vacation mode of the home, and induced a fake fire alarm.

All of these attacks were successful in breaching home security and exposing a household to break-ins, theft, misinformation, and vandalism. The attack vectors the team used were not specific to a particular device.

Applicable to all

In an industry that relies on the interconnectivity of a range of apps and devices, this study is an important canary test—its key findings are broadly applicable.

SmartThings share key security design principles with other frameworks, so lessons learned from this analysis can now inform the design of security-critical components of future programmable smart home frameworks.

While the above might appear to be all doom and gloom in the smart home security space, the beauty of smart design and technology is that we are constantly evolving and improving—each iteration of a product builds on what came before, and we can absorb these lessons into our frameworks.

Smart home devices and their associated programming platforms will continue to proliferate in response to growing consumer demand—a 2015 Gartner study estimated that consumers around the world are adding a staggering 5.5 million IoT devices daily. It’s our responsibility to ensure these devices are secure.

Get smart about hacking threats

This substantial growth means not only do we as developers and manufacturers need to be on top of software security, but consumers also need to adopt smarter behaviours to protect themselves from hacking.

There are a number of ways homeowners can contribute to the security of their smart home.

Implement two-step authentications

The extra level of authentication could be a security key or a one-time code received by a phone call or text to keep unknown parties out of smart devices and the apps used to control them.

Many websites and apps offer two-step authentication that users can opt into under “settings.” Other methods, including biometric authentication like a thumbprint or an eye scan, are increasingly being turned to as a harder-to-fake two-step authentication option.

Complete security updates

Most smart home devices don’t update automatically, so once a month users should open the app corresponding to their smart device and check for firmware updates.

Even when buying a smart device directly from the store, users should check for updates sent out between the time it was manufactured and when it is purchased.

Segregate internet connections

It is important to segregate internet connections to reduce risk of hacking across devices. You can purchase a separate internet connection, or split an existing internet connection using a virtual local area network (VLAN). A VLAN segments the main network and compartmentalizes traffic so that if one device is compromised, it cannot be used to access others.

Change default passwords

Internet-connected devices often come with default passwords, and unfortunately as many users forgo changing factory settings, those devices become easily accessible to hackers. In fact devices with default passwords were the single largest contributor to the Mirai botnet, which was responsible for the October DDoS attack

The way forward

Developers of smart home security systems need to consider not only the physical security of the house, but also the potential threats to the software.

Edimax Technology has just increased consumer options in the wireless home security space with the launch of three wireless cameras, as featured in the Taiwan Excellence showcase at CeBIT 2017, and the company uses the latest in security defences and ensures it stays on the frontline of current research into smart home security.

To take the smart home security industry to the next level, it is imperative that clear standards are established across the industry, allowing for unification across all smart home technologies so disparate products can communicate seamlessly and—most importantly—securely with each other.

Consumer interest is there, and once the security of the market is established, the only way for the industry is up.


The Current State of Advanced Malware Protection

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Current state of malware protection still rely mostly on signatures. The near future state needs to incorporate advanced AI in multiple features like crypto, beaconing, and anti-forensics.

The malware samples that are flying under the radar of the security solutions are more than those detected. Advanced Malware Protection must incorporate AI/ML paired with expert analysis.

Advanced detection techniques can no longer rely on signatures or IOCs that bypass legacy antivirus engines. Defenders must assume breach and hunt malicious actors on their networks to identify and expel threats before they cause damage and loss.

Currently, security teams are limited by standard security analytics and incident response processes. Advances in machine learning will automate threat intelligence, make stronger connections between malicious events, and resolve incidents faster.

The current state of Advanced Malware Protection is poor. Many companies have been led to believe marketing hype, and are still being infected. The main reason is attacks are able to bypass security solutions fairly easily.

Post WannaCry and Petya, malware prevention technology should become more resilient and combine with advanced real-time behavioral analytics for network situational awareness with a comprehensive standards based cyber-security assessment.

Threat Protection For Cloud

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Evolve or die. In response to the recent cyber-attack storm, more cloud security technologies and services will emerge that are software defined, can monitor and stay close to data – wherever it lands.

Even the most secure cloud providers only offers security OF the cloud. The user is responsible for security IN the cloud. As groups, roles, devices change, oversights open vulnerabilities that lead to outright hacks or DDOS.

Cloud threat protection is currently being done by a handful of proxy based companies that are either scanning emails, blocking or bridging website traffic, circumventing DNS and other similar services.

With hackers getting smarter and finding new ways to make expensive calls with you picking up the tab, the most important way to stop these threats is to constantly monitor attacks and enable advanced firewall protection.

Machine Learning Powering IoT Security

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Data security is critical for IoT to flourish as lack of consumer confidence can impede adoption. Machine Learning enables expedited threat detection, investigation, and remediation for safer and more robust IoT deployments.

The cybersecurity risk posed by IoT will increase dramatically as the number of IoT-connected devices proliferate worldwide, driving an ever-expanding attack surface that malicious actors will seek to exploit.

Today’s IoT security risks are enormous, with new vulnerabilities always surfacing. Existing solutions tackle parts of the problem. Startups are using Machine Learning to cover the entire IoT security waterfront.

The speed of adoption and devices will continue, and the awareness of the aspects of IoT to be wary of will drive the push for increased security built in to the devices.

IoT devices are currently being developed inherently insecurely. With the number of devices exploding, IoT will morph towards self detection and remediation underpinned by machine learning capability.

8 out of 10 IoT devices are insecure – we’ll start seeing anomaly based detections start to pick up abnormal behaviour in networks and systems.

Cloud Data Protection

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Organizations will seek tools that provide a holistic view of security and compliance risks across multiple cloud providers to help them manage risks without impeding DevOps.

Data Protection will transition from inhibiting cloud adoption to enabling it. No more ‘economy, agility, security –only choose two.’ Get all three and stop compromising.

As business processes, workforce enablement and data move to the cloud, new security models are needed. Fortunately, there is a parallel evolution of cloud-based and managed security solutions.

Security professionals face increasing workloads to protect data across the enterprise, wherever it’s located. AI and cognitive security will help stretched cyber professionals extend their capability beyond their own.

With over 70% of corporate data on mainframe, organizations need to protect sensitive data in motion to and from cloud to avoid heavy fines when EU GDPR becomes effective May 25, 2018

The ease-of-use of visual server management will become imperative to cloud data protection. When servers are represented visually, they are easier to manage and understand – even for less-than-technical users.

Today, enterprises use numerous technologies to cope with data growth, proliferation of disparate systems, devices, applications and regulations (GDPR). Soon, enterprises will be looking for data visibility and solution consolidation.

Enterprises will look for independently audited and verified compliant cloud solutions to help them meet PCI, HIPAA and other emerging compliance standards as they move toward cloud solutions.

Cloud Data Protection is just starting to ramp up as organisations move important data to the cloud and discover that it’s not as well protected as their on-site data is.

As businesses continually transition to cloud for flexibility and cost purposes, attention must be given to securing the data off premise to ensure business continuity and customer privacy.

On-premises, boxes secure data behind data center walls. On cloud, data is stored on infrastructure enterprises don’t control. IT needs to establish logical control over cloud data using independent encryption and access controls.

Tech To Counter Rising Severity Of Cyberattacks

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Firewalls, anti-virus aren’t enough to protect companies and their critical data. Security monitoring and protections for the next generation of cyber controls need to include endpoint monitoring and protection capabilities.

We have the technology to stop most attacks but people don’t enable it. Things such as default to deny firewalls, patching, and multi-factor authentication would deter most attacks.

The current state of affairs is very much focused on ransomware and man-in-the-middle attacks. Blocking ransomware infections via social engineering content, and providing secure browsing for remote workers are imperative.

Cybersecurity technology will increasingly need to protect cloud environments from risks associated with misconfigurations as well as malicious actors, and provide singular visibility across resources from multiple cloud providers.

Automation, Analytics and Behavioral Analysis. Yes, they’re buzzwords, but ending the constant cat-and-mouse game requires moving from reactive to proactive measures that anticipate and thwart the unknown and the known.

We’re living in “continuous compromise”​ – no network is completely secure. Companies must learn to not fear breaches, but instead have the right tools to rapidly detect and remediate attacks.

The cybersecurity field is at a critical point due to lack of qualified personnel and investments in training. Associations, academic institutions, government entities and industry must partner to find innovative, scalable solutions.

Biometrics will be widely adopted in more consumer-facing devices and security systems. Consumer data will be increasingly linked to our mobile phones and devices, protected by technologies such as TouchID.

Today’s organizations must deploy solutions that both accurately identify cyber threats and quickly contains them. This requires a new approach to security monitoring that includes managed detection and response.

It’s critical for cybersecurity solutions to go beyond encryption. One solution is to utilize a shredding technology like blockchain, which secures bitcoin by spreading pieces of them throughout the world.

Cybersecurity is a battle of machines. From hacked elections to destroyed businesses; we’ve only seen a glimpse of the future. Time is wasted securing people – machines are the real danger.

A state-sponsored, bottomless bag of zero-days forces focus on attack & evasion techniques. Next wave of detection & prevention will use hidden sensors, machine learning, cryptography, immutability, and automated response.

Gateway appliances that provide cloud-based deep packet inspection to help detect zero-day attacks will continue to penetrate the market, especially for the SMB segment.

The current state of cybersecurity relies on encryption, which isn’t resistant to quantum computing attacks. When quantum computing attacks becomes a reality, rarely any encryption would survive. 99% of the existing blockchain solutions won’t survive this doomsday either.

The future of cybersecurity is security & application analytics. Not just security analytics, but also application analytics. Security is tightly tied to the applications people use.

Cybersecurity today is frozen like a deer in headlights waiting to react to last minute attacks coming from everywhere. Dynamically programmable security functions will help solve this.

Secret Sauce To Effective Machine Learning

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In the modern world of innovations around automation, the replacement of humans with machines is talked about on a daily basis in the media. Some of the most talked about use cases include driver-less cars and automated checkout at retail outlets. Additionally, there are some not so obvious use cases such as Google, Facebook and Amazon recommending products that you are most likely be interested in purchasing based on data they collect while you shop or browse online; or Netflix putting the show or movies that you are most likely to watch at the top of your list on their app. The primary element used by all these companies to accomplish this feat is data.

The data, when aligned to real business needs, can provide great insight that is not otherwise possible. Let’s discuss why and how data plays a very important role in facilitating an automated solution suited to customer needs, specifically in the world of cybersecurity for effective defense techniques.

A Thief in the Night

Imagine a scenario where a thief is breaking into your house; similar to an attacker entering your network. The thief’s constraints in attempting to steal anything include the limited time on hand, the need to find locations where the valuables are kept, and the weight and the size of the valuables he or she plans to take, among many other constraints. The thief is likely to use abnormal means to enter the house, such as breaking the door or entering through an open window, and will be searching for valuables at random once he or she gets in. Additionally, these activities have to happen rapidly before the thief exits.

The behavior of the thief is quite different from the normal resident of the house. The normal inhabitant of the house is likely to repeat most of his or her activities to a certain degree. These regular activities can be learned and mathematically defined as a set of expected behaviors of the normal occupant of the premises. Similarly, some of the characteristics of a thief can be learned from experience and modeled for a mitigation strategy to be put in place. One real-life mitigation example we are all familiar with is the alarm system in the house –it provides the response to an unauthorized entry in some fixed amount of time. However, more sophisticated thieves diligently account for this mitigation and evolve their methods over time to bypass the alarm, allowing them to commit crimes more freely.

Like sophisticated thieves in the example above, cyber-attacks are growing in sophistication and in numbers. The damage resulting from this increase is felt in multiple circles – the political arena, financial institutions and certainly by individual citizens. The effect of some of these damages can last a lifetime and can bring the victims to the brink of disaster. Emerging modern data science techniques, when combined with myriad types of available data, can help mitigate this to a good extent.

The Importance of data

How can data help? We now have access to many multiple forms of data that can be gathered and compared to identify the attack. Consider the data we know about the thief—the method of entry to the house, the searching for an item in house, the time of entry into the house, the number of items leaving the house and the speed of collecting different items in the house. Recognize that these are only a small list of available data points.  When such characteristics are learned and compared, an attack can be determined with a very high degree of accuracy. Yes, the data is quite complex, but is also key to accurate attack detection.

Enterprise Network Complexity

When a simple situation of a robbing a house is extrapolated to an attack on a complex enterprise network environment, the defense also becomes quite complex. In the not so distance past, the cyber-attacker had to perform extensive searches in a network to identify critical and valuable information such as credit card numbers, customer identifications and private health data for a successful breach. In current times of ransomware-style attacks and the availability of cryptocurrency, the attacker does not have to search and take away anything. Instead, the attacker becomes a blackmailer and makes everything unusable unless the ransom is paid. The cryptocurrency makes the ransom transaction harder to trace and helps keep the blackmailer hidden. Clearly, such blackmailing is not very realistic in a typical house robbing scenario; however, it is imperative that the data gathering in the enterprise network environment has to be much smarter to counter such complex attacks.

Traditional tools such as perimeter devices leverage known historical information to thwart attacks. Devices like firewalls will periodically receive threat intelligence about known blacklisted attackers such as IP addresses, URLs and domains. The attacks were mitigated by actions such as blocking or rejecting such connections. These devices also received the signature of the attack artifacts such as files and used these to identify and defend against attacks. IP Addresses, URLs, domains and signatures thus make some of the dimensions of the data for security defense.

In the world of BYOD (Bring your own devices) and cloud based infrastructures, the perimeter distinction has become blurred and hence the required number of data dimensions have enlarged significantly. These data dimensions typically are proportional to the attack vectors as these dimensions represent the method used to attack. Thus, an increase in data dimensions has increased the attack surface and therefore, the complexity of the cyber defense. This increase in attack vectors must be countered by more sophisticated defense strategies.

Feature Definition Process

To structure enterprise-level cyberattack defenses, the attack surface and the corresponding attack vectors should be identified. Today’s Advanced Persistent Threats (APTs) progress over time, making it difficult to detect them early in their track. The attack vectors have to account for slow moving threats that use sophisticated methods to hide or stay under the radar. To account for such threats, data has to be collected over time and then translated into attack vectors. This translation of collected data over time into attack vectors is referred to as feature definition or feature engineering by some groups. The attack vectors and the corresponding features for such APTs usually include mathematical time series functions. These functions play key role in effective detection and containment of these APTs as early as possible to minimize or eliminate the damage.

One method of countering complex APTs is to define the features that will progressively evolve at a faster pace than the progression of the attack surface. It can however, start out with minimal information to track the progression and surface the threats early in its inception. Modern feature definitions are a lot more complicated and involved, making it difficult to facilitate an effective cyber defense approach to today’s attacks. In practice, features identification and tuning are the most important aspects of an effective cyber defense strategy, and correspondingly, takes up the largest portion of the machine learning team’s effort. Many of them incorporate AI to make their machine learning based cyber defense techniques more effective. Even though sophisticated algorithms are required for good cyber defense, they will fall far short of their capabilities in the absence of good feature engineering practices. One is likely to see that well-conceived and properly executed feature engineering can make even the average algorithms work quite well.

One may have heard the streetlight effect, a term sometimes used to describe a form of observational bias.  It describes a scenario where a drunkard is asked, “Did you lose the keys here?” and the answer is, “No, but the light is much better here.” In similar fashion, the data fueling the feature definition process is one of the most important aspects of an effective cyber defense strategy. Use of an incoherent approach similar to “looking for keys under a light” for addressing weakness in the attack surface is likely to put the cyber defense team off track and result in dangerous exposure, putting a company at considerable business risk for a breach. It is important to know where you are likely to be attacked from and, the corresponding attack vectors and attack surface. Blind to this information, and you are more likely to be a victim of cyberattack. The takeaway? Know that data is the secret sauce to determining effective detection and containment of threats.

New IoT Botnet Enters The Grand Theft Auto

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Security researchers from Radware have discovered a new botnet that uses the same vulnerabilities as Satori bots to infect IoT devices through the community of Grand Theft Auto players.

Satori is a derivative version of the notorious Mirai botnet, which in 2016 paralyzed Dyn web services, the provider of DNS services that owners of some of the largest sites use.

Vulnerabilities in question are CVE-2017-17215 and CVE-2014-8361. These vulnerabilities are present in a number of models of Huawei and Realtek routers.

Researchers have discovered that the botnet’s command server was located at SanCalvicie.com; the site offered support for the multiplayer mode of Grand Theft Auto: San Andreas.

Video games fans have created an extensive collection of additional components and modifications to make the game experience more vivid and rich. Sites like San Calvicie attract GTA players who want to host their own special versions of GTA for multiplayer mode.

What’s more interesting SanCalvicie.com offered paid DDoS attack services. The website statement started like: “The wrath of God will fall upon the IP address you give us…”

DDoS services were provided with a guaranteed throughput of 90-100 Gbit/s, with vectors such as the Valve Source Engine Query flow and 32-byte flood, TS3 scripts. Starter package price is $20 per IP and 290 to 300 Gb/s DDoS capacity.

A DDoS bot that uses the San Calvicie hosting service and named JenX, is based on the existing code but deployed in a different way than previous versions.

Unlike last year’s IoT botnets, this botnet uses its own servers to perform scanning and exploitation.

Almost all previous IoT botnets, including Mirai, Reaper, Persirai, and Satori use a distributed approach for scanning and exploitation. That is, every infected victim with performs its own search for new victims. Such distributed scanning ensures the exponential growth of the botnet. But to use such approach it is necessary to sacrifice flexibility and complicate the very malicious program.

JenX’s growth rate is relatively low but due to the centralized approach, this botnet is better protected from detection.

Although the circle of persons threatened by JenX is mostly made up of GTA San Andreas users, nothing prevents using this cheap service (only $20 per victim) to launch attacks of 290 Gbit/s against business or government websites. The appearance of this IoT botnet should be seen as a serious warning.

Radware sent out notices of misuse related to JenX, which limited the activity of the botnet, but it still works. The JenX network is implemented in such a way that it is very difficult to turn it off.

As crooks chose a centralized scan and exploit approach, they can easily transfer their malicious activities to bullet-proof hosting services that provide anonymous VPS and dedicated servers in offshore zones. Such suppliers do not care about complaints and abuse and host even the deadliest threats like extortion viruses. Some of such services offer darknet hosting options. If the servers carrying out the exploit are moved to the darknet, it will be much more difficult to track and stop them.


Answering Important IoT Questions

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Is IoT just a fashion trend or technology of the future?

The Internet of Things is a new round of the penetration of digital technologies into the everyday life of man. The Internet is becoming more accessible, things become smarter. The modern fashion to “digitize” everything plays an important role in the development of IoT. Its origin is associated with real demand, and the development of technology has made it possible to translate it into reality. This is a logical stage in the evolution of automation of processes in industry and household life.

The Internet of Things has quickly increased its coverage, but it is not too late to think about possible violations of current legislation, privacy, and other human rights in case of uncontrolled penetration of such technologies into all spheres of our life.

The rapidly developing IoT, which does not implement proper security rules threatens both soulless machines and living beings. All different types of connected devices can be used as attack platforms. Time zones, state borders, and international law will not pose a serious problem for cyberattacks without proper implementation of protection functions. Modern conveniences and fashion for digitalization are not so bad, but it is necessary to remember about security.

Is IoT better for B2B or B2C?

The Internet of Things is applicable in both spheres, but security requirements for smart things in B2B, of course, must be higher than for B2C devices. There are numerous use cases. A home user, who decides to put a web camera in his garage to monitor it from a PC or smartphone; a hypothetical local TransService LLC, which uses GPS to monitor the location of its trucks, or hypothetical NetMediaGroup JSC with sensors and cameras throughout the country – all will use the Internet of Things, but the requirements for their equipment and infrastructure will differ greatly.

A home user with a high degree of probability will not even think about the possibility of securing the traffic traveling between the smartphone and the web camera, except for changing the default password. TransService LLC at best will install special sensors and SIM cards into its trucks. It will also possibly get the cellular provider to set up a separate network through a dedicated access point (APN). NetMediaGroup JSC, in addition to the APN, will also require a separate VPN to ensure secure cross-platform interactions of its infrastructure components and in order to protect the transmitted data from interception or modification, as well as from unauthorized access.

Is it safe to use IoT at home?

The security of household IoT, judging by the number of compromised devices participating in DDoS attacks, is not a priority either for manufacturers or for consumers themselves. The end user does not think about security issues and prioritizes his own convenience. The manufacturer wants to avoid damage to user-friendliness that influences sales. World technological associations and standardization institutions have only recently developed methodological recommendations for the security of the Internet of Things, such as the GSMA IoT Security Guidelines, NIST, and SANS publications.

Given the growing interest of the industry in building a secure Internet of Things, let’s hope things will change over time. We all remember the case of the first Wi-Fi routers, where by default Wi-Fi was open with the PSK key value set to 12345678. Today modern Wi-Fi routers are often shipped with a unique SSID and its own hard-to-guess key. A similar development path awaits other IoT devices in the mass market.

Are consumers ready for smart cities, cars, homes?

As mentioned above, consumers who put emphasis on convenience, and manufacturers who just started conquering the market are ready for IoT quite formally. Users may enjoy the new functionality, maybe sell and buy things, but only on condition that the Internet to which things are connected will be a trusted environment.

Are we ready for smart cities?

Critical infrastructure interfaces can be safely connected to the Internet only if there are no cybercriminals. But it is impossible to eliminate all crooks. To limit the threat coming from them, you need to use dedicated network segments, access to which is strictly controlled. This way you can be less afraid of scenarios in which the city is paralyzed by an attack from the outside.

What are the main problems of the faster introduction of the Internet of Things?

The main problem is the lack of a common integrated approach ensuring the safety of devices. This approach should list rules and regulations, which would be followed by all parties involved: manufacturers of IoT devices, consumers of smart city technologies, communication providers, etc.

What steps should vendors make to better protect their IoT device and us?

  • Marketing materials and user manuals should include instructions on necessary information security measures and explain the risks of connecting the device to the Internet.
  • Device Hardening: disabling unused services and functions in order to reduce the vulnerability surface.
  • Enforce the default password change. Implement password policies that prevent the use of simple passwords.
  • Implement software code security control.
  • Conduct thorough security testing of devices and applications before mass production.
  • Enforce auto updates that fix security issues. Develop user-friendly and fast software update process.

In addition to the obvious benefits to the consumer, the manufacturer can use the above steps as a competitive advantage. The implementation of such measures will not solve all the problems, but it will make the world of IoT and the real world connected to it much safer.

Should You Be Worried About Cloud Security?

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The cloud has immense positive aspects, allowing cloud service customers to utilize the precise amount of computing resources needed at any particular time. It makes collaboration a lot easier. In practice, cloud often proves more desirable than on-premise security owing to a plethora of factors, the majority of which involve decreased cost. Consequently, it makes cloud an important milestone for the means of customer identity administration.

A lot rides on the cloud provider you select. If you go for a cloud provider that doesn’t prioritize security, does not utilize secure transport mechanisms, does not utilize encryption, doesn’t have a well-defined security policy, and doesn’t have a safe facility, your data are going to be in danger. The most suitable cloud computing provider should use SSL from an established, dependable and secure independent certificate authority.

Cloud computing also permits you to access content and services, run applications, or develop custom extensions on tools supplied by other businesses in cloud marketplace. Gain assurance which you can retrieve your data when you require it and in the format you want. For instance, today you cannot be certain that you are able to transfer data between two cloud based software applications even if they’re operating in exactly the same cloud.

What You Can Do About Cloud Security

 

Since security is an important problem, a corporation’s security architecture should consist of encryption, auto-recovery, and intrusion detection so the customer will be comfortable. Cloud security must concentrate on the data as opposed to the infrastructure. The cloud provider’s security is just as great as the trustworthiness of the security technology they use. Simply little changes to the manner in which you do things on the internet can possibly improve your online security an incredible arrangement. Security on the public cloud is among the most crucial concerns for CIOs. Cloud service security may also be compromised as a result of attacks on co-tenant services.

Whether you are looking for a service with increased flexibility or security, there’s a cloud service available for you. Private cloud services are usually built and customized for a particular firm. The kind of cloud security service you choose really depends upon the degree of security your company requires, your business’s in-house IT expertise and the kind of applications you’d like to have accessibility to. The general public cloud security service is also inexpensive and flexible, since it allows increased availability and access to several networks that otherwise wouldn’t have been available to a little business.

With the arrival of Cloud Computing a business can have reliable and secure small business computing delivered like a utility support. Companies like VMware are also supplying a large selection of tutorials on virtualization, furthering the effort to cause a better comprehension of cloud hosting and everything it has to offer you. With the proliferation of cloud offerings in the current marketplace, many businesses are leveraging cloud-based small business applications.

The cloud security market has been in existence for decades, and so have a number of the best-known certifications. The IT industry is growing too at a rapid pace and it’s cloud computing that’s helping organizations to access infrastructural resources and company applications.

Fourth Industrial Revolution – Most Overlooked Facts

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Whether revolution or evolution, industrial production is all about to turn a great deal more efficient. On the flip side, production in a lot of sectors like white goods, aerospace and electronics are extremely near the standards of the third revolution. The digital revolution isn’t restricted to just manufacturing and logistics. It’s an elaborate revolution taking place in multiple industries simultaneously.

The Second Industrial Revolution was a mass manufacturing revolution depending on the use of electricity. Actually, the phrase the fourth Industrial Revolution has existed for a very long time. As much as we like the promise of the digital era, it is going to be a period immense social consequences. Ultimately, the national and worldwide workforce landscape will change dramatically.

While technology will alter the way we work, the capability to apply knowledge in various contexts and adapt transferable skills will get increasingly crucial. There are lots of technologies to embrace. Labor-saving technology won’t influence all workers equally. In some cases, it will displace existing workers. In reality, digital and cloud technologies, a big part of 4th industrial revolution, have been part of our everyday lives for a while now.

Technology has become the reason incomes have lately failed to grow in high income countries. On the flip side, technologies are rising employment in other job families. In truth, it is precisely the absence of a single enabling technology which makes the most recent revolution so different and much more complex than its predecessors.

Learn more about Fourth Industrial Revolution

 

If you operate a company in the fourth industrial revolution, you will need to be ready to go the additional mile for your customers. With an intricate data overload ahead, businesses want to get started considering their adoption of technologies to make sure they are fit to fulfill the changing demands of IoT and cellular applications. In order to achieve a true revolution, companies must be able to make sense of massive quantities of data. More than a few companies feel that in the future the greatest revenue stream they’ll have is going to come from using their data smartly and enabling manufacturing efficiency around their very own equipment. The amount of data that we now have access to, provides amazing opportunities to create entirely new business models.

As much as we enjoy the 3 industrial revolutions before it, the fourth has the capability to change virtually every element of our everyday lives. In a recent study, only a quarter (26%) of global respondents were found to be extremely confident they have the proper workforce composition and abilities necessary for the future. The people of developed economies, which form the vast majority of current technology user bases, is anticipated to change minimally. With the arrival of electronics and IT we moved into the time of automated production, and we are presently going into the area of cyber systems.

We realized the significance of a solid industrial capacity after the 2008 financial crisis. Society is currently in the throngs of what’s being called the fourth industrial revolution, also called the second machine age or industry 4.0. By which time it’s going to have changed society in such a manner it is almost not possible to remember what your life was like before all of it changed. Innovative education will give a sensible and enhanced learning experience to come up with advanced technologies like science, nanotechnology and artificial intelligence. At this point, nations around the world aren’t only at quite different phases of digital evolution, they’re also moving at quite different speeds.

Blockchain Applications You Should Know About

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Other folks think it’s merely a matter of waiting for the technology to mature. But the reality is that there are already myriad of applications of blockchain technology. An integral part of a blockchain is it is decentralized. There are all kinds of applications. They need to acquire users, one at a time. Transformative applications are still some time away.

Bitcoin’s software was not designed to deal with different forms of applications. Blockchain applications need new algorithms to deal with the exceptional character of decentralized systems. Another blockchain application that’s very likely to play a substantial part in the future are what is known as smart contracts. These platforms will allow businesses to make and manage their very own smart contracts based on the current Hyperledger system when operating as a part of the firm’s cloud computing facilities.

Medical information methods struggle to stay informed about the time-sensitive nature of several medical procedures. The blockchain based system can enable a wide selection of possible customers, from individuals to professional providers.

Brazil is seeking a more customary blockchain payment system, but the majority of the developing countries would like to have the potential for crypto exchanges. Some blockchain businesses, like Ripple and Brave, have their own tokens. A consortium of the biggest banks on earth, and several insurance businesses, led by few startups, is seeking to construct a platform to set up new digital relationships between banks themselves.

As you may see, there are lots of ways that blockchain technology may be used. With blockchain applications, there’s an interesting application for auto industry. The technology enables access authorizations for the vehicle in a safe manner. At the same time, it also has a great potential in other industries. A couple of the industries where blockchain technology is anticipated to cause the best positive change are capital markets and trade. It is extremely powerful when it comes to victims of identity theft. 

The very first organization to avail using blockchain for voting proved to be a political party in Denmark, referred to as the Liberal Alliance. The majority of the projects aim at offering community help. Blockchain apps development requires a developer to know not only programming languages, but in addition have a deep comprehension of the fundamentals of decentralized applications, along with cryptography.

Blockchain technologies provide auto manufacturers, in addition to numerous different constituencies across the automotive ecosystem, a selection of likely future advantages. Blockchain technology has a massive capacity to transform business operating models in the long run.

Understanding Smart Home

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Introducing Smart Home

 

When you eventually sell your house, smart devices can pay off in a variety of ways. Finding a house automation process is on the exact level as remodeling your house in cost and complexity. Generally, if your home uses a lot of electricity you will start to conserve cash with solar energy promptly.

Receive emails, text messages and perhaps even real time videos whenever someone enters and leaves your residence. Your house can customize itself to your habits, and help you save money in the approach. In the past, Intelligent homes were a discretionary spend limited to selected few, but today smart homes have become much more affordable.

Some systems will permit you to interact with your home security system, giving you the capability to arm and disarm your house remotely. Home automation methods strive for simplicity of usage. The very best home automation system wouldn’t be complete without some kind of security apparatus. When you’ve setup the very best home automation system possible, the chances are truly endless.

As you think that a phone activated security process is overkill, you might reconsider when you have school-aged children that come home from school before you come home from work, or in case you travel often. Quite a few of the home security systems are a breeze to install, and you can usually do it yourself in a couple of hours and save the cost of experiencing a security company monitor the premises for you. Smart home security methods offer exceptional security solutions which is likely to make you, and your family members, feel more in control of your house. Some smart home systems can be made from scratch, utilizing a Raspberry Pi or other prototyping board. Needless to say, it’s undeniable that the very best smart home system will supply you with a variety of benefits.

Smart home technology is a style of connecting your house through innovative technology to control and give homeowners an on-demand accessibility to different systems throughout your residence.

Smart Home in a Nutshell

 

While some individuals want to know more about home automation, the majority cannot justify the price tag. If you are only starting out in home automation, deciphering which smart home process is ideal for your requirements can be a bit daunting. Perhaps you’re just curious about what home automation has to offer you. Total home automation may sound complex and pricey, but a lot of systems are surprisingly inexpensive and easy to install.

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