Brainjacking: A New Cyberthreat Targeting Brain Implants

Brainjacking

How can brain implants act as viable hotspots for hackers and cybercriminals?

Tech entrepreneur Elon Musk recently spoke about the possibility of a future where man has brain implants to various reasons ranging from augmenting his memory to listen to music. His Neuralink computer chip brain implant promises to demonstrate linking the body’s muscles with a machine, with the goal of treating neurological injuries and trauma. Though this tech sounds intriguing, it also raises some concerns. Experts believe that bio-implants are more likely to be prone to malicious cyber-attacks and become a new sport for hackers. This is the reason why the former Vice president of USA Dick Cheney had disabled wireless telemetry on his implantable cardioverter-defibrillator during his time in office for fear of political assassination. In 2016 Johnson and Johnson had warned patients that the company had discovered a security vulnerability in its insulin pumps, which might allow cybercriminals to alter their dosages remotely. As the human brain is the CPU of human bodies and thoughts-action process, scientists fear that attack and corruption of brain implants, also called brainjacking, can shoot up in the coming years.

As we live in a hyper-connected world, where every connected end-device is hackable, brainjacking poses a severe threat to people even before brain implants have hit the commercial markets. In 2016, a group of researchers, neurosurgeons, and doctors of philosophy from Oxford Functional Neurosurgery and several Oxford University departments published a paper exploring the issue of brainjacking. Even in 2018, scientists in Belgium have found that neurostimulator, a wireless brain implant can be hacked using off-the-shelf materials. They discovered that by utilizing remote exploitation, hackers could make voltage changes that can result in sensory denial, disability, or even death. These research studies highlight how cybercriminals can weaponize a simple brain implant for malicious purposes.

Laurie Pycroft, a doctoral candidate at Oxford’s Nuffield Department of Surgical Sciences, who headed the Oxford study, says that the most common type of brain implant is the deep brain stimulation (DBS) system. It consists of implanted electrodes positioned deep inside the brain connected to wires running under the skin, which carry signals from an implanted stimulator. This DBS can feed tiny, precision jolts of electricity into ones’ brain to control epilepsy or Parkinson’s tremors, dystonia (muscle spasms), and severe chronic pain. It has also been in trial for conditions like depression and Tourette’s syndrome. The neurosurgeons use it to map and target various regions of the brain using different stimulation parameters to have precise control over the human brain.

However, Pycroft fears that such precise control of the brain, coupled with the wireless control of stimulators, paves the way for hackers to attack the brain implants. For instance, an attacker could potentially induce behavioral changes like hypersexuality or pathological gambling, or even exert a limited form of control over the patient’s behavior by stimulating parts of the brain involved with reward learning to reinforce certain actions. The criminal perpetrators can cause blind attacks like cessation of stimulation, draining implant batteries, inducing tissue damage, and information theft, and targeted attacks like impairment of motor function, alteration of impulse control, modification of emotions or affect, induction of pain, and modulation of the reward system. Pycroft says although these hacks would be hard to achieve as they would require a high level of technological competence and the ability to monitor the victim, a sufficiently determined attacker could manage it.

While the scope of brain implants looks extremely promising, a single brainjacking incident can malign their reputation and raise questions of its safety and usability. This is why it is important to address this issue before the chips hit the mainstream market. Kaspersky has collaborated with the University of Oxford researchers on a project to map the potential threats and means of attack concerning these emerging technologies. Further, we need reinforced cybersecurity measures, which include encryption, identity and access management, patching, and updating the security of these brain implants to minimize instances of brainjacking. Clinicians and patients need to be educated on how to take precautions against these attacks.

You can read the research by the University of Oxford here.

You can read the research by Belgian researchers here.

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Data Protection Vs. Cybersecurity: Why You Need Both

In recent years, both large and small organizations have been affected by data breaches. Business owners, C-suite executives, and CIOs face the reality that they can be a target of security breaches at any time. These incidents can jeopardize your organization’s credibility besides leading to financial and productivity losses.

Data protection and cybersecurity are essential to safeguarding your organization against data breaches. New laws are getting enacted across the globe to regulate the collection, retention, use, disclosure, and discarding or personal information. Therefore, it’s important to distinguish between data protection and cybersecurity and why you need both of them.

What is Data Protection?

Organizations need to safeguard crucial information from breaches and the resultant loss. The significance of protecting your data from breaches as the amount of data that you collect and store grows. Many organizations safeguard their data so that they comply with regulations such as the GDPR. The key principle of data protection is safeguarding data as well as making it available under all circumstances.

Data protection can describe both operational data backups and business continuity/disaster recovery plans. Therefore, data protection strategies evolve along two lines: data management and data availability. The former ensures that data is safeguarded at all times, while data availability ensures that users can access data whenever they want.

What is Cyber Security?

As the name implies, cybersecurity is about protecting networks, programs, and systems against digital attacks. Malicious actors use these attacks to access, change, or destroy sensitive information, extort money from users, or interfere with normal business operations. With cybercriminals becoming more innovative, it’s getting increasingly challenging to implement adequate cybersecurity measures.

A successful cybersecurity approach should have multiple layers of protection that spread across all the networks, computers, programs, and data that you intend to safeguard. Within the organization, the people, organization, and processes need to complement each other since this is the only way of creating an effective defense against cyber-attacks. Likewise, your data protection and cybersecurity strategies should complement each other.

The Nexus Between Data Protection and Cyber Security

Few people can distinguish data protection from cybersecurity. A case in point is the recent high-profile breaches at Facebook and Equifax. Not many people can differentiate between Equifax’s data breach and Facebook mishandling of data. While one of these incidents was a hack, the other involved unauthorized data access. This highlights why organizations need both data protection and cybersecurity.

Traditionally, cybersecurity and data protection communities have remained separate. Security is generally perceived as a technical issue, while data privacy and protection is regarded as an issue relating to data access and protecting data from getting into the wrong hands. Simply put, cybersecurity is a technical way of implementing data privacy choices. However, the challenge that arises is the assumption that data access is authorized, and all entities are infallible and act in the interest of data owners.

Why You Need Both

The best thing that organizations can do to prevent data breaches is combining their data protection and cybersecurity strategies. By simply protecting your data, you’ll be doing a lot to fortify your cybersecurity stance. Looking at major breaches that have happened in the recent past, you’ll notice that most of them started with access to personal data.

Although such unauthorized access to data is often portrayed as simple security breaches, it has a substantial impact on cybersecurity. Generally, unauthorized access is a significant threat that interconnects all types of breaches. By combining your data protection and cyber-security strategies, you’ll have total control of all stages of your data lifecycle. It will also be easier for you to comply with all the applicable regulations.

Likewise, cybersecurity risks compromise the security of your data. One of the reasons hackers access the networks, systems, and programs of an organization is to get hold of users’ data. Companies have vast volumes of data at their disposal, which often acts as a bait for cybercriminals. Therefore, by ramping up your cybersecurity strategies, you’ll be playing a significant role in protecting your data.

Taking an integrated approach to data protection and cyber-security can also help you to expedite digital transformation at your organization. The data compliance and classification initiatives that you’ll undertake across the organization for different purposes will be aligned and coordinated. It also enables you to evolve your approach to cyber-security and data privacy uniformly. This plays a significant role in helping you address emerging threats and vulnerabilities.

Final Words

A data breach can occur at any time since hackers target all types of companies. The more data you have at your disposal, the more attractive you are to cybercriminals. Data protection and cybersecurity are two sides of the same coin. Integrating your data protection and cybersecurity strategies will go a long way in helping you seal potential loopholes that cybercriminals leverage to breach your system.

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Covid-19 is Accelerating the Digital Transformation of Cyber-Security

Cyber Security

A Microsoft study reveals emerging cybersecurity protection strategies

Since the pandemic has pushed everyone into their homes, it is not just the electricity bill or data usage that has spiked. Recent reports reveal that cybersecurity breaches are a major threat that organizations have to overcome despite managing a remote working environment.

Towards the end of 2019, when the pandemic broke out in Wuhan, Hubei province of China, no one thought that it was bringing so many changes to the society. Within one or two months since the outbreak, tech giants and almost all offices slowly started granting employees the luxury of work from home. Even though when steps were taken in a rush, the organizations had the responsibility to maintain revenue and gain profit.

Thousands of employees were sacked from various global organizations due to less productivity and bad income. Still, the rest need to go on with the daily workflow with new technological changes. Companies started adopting artificial intelligence features like cloud datasets to patch the gap and comply with the usual workforce. However, when technology started evolving drastically on all sectors, hackers were ready to break the code and start their way of making a profit.

Organisations are equally aware of cyber threats. So many businesses started taking the new scenario of reprioritizing their investments and fast-tracking projects aimed at protecting the data and employees work.

Recently, Microsoft conducted a survey of nearly 800 business leaders from the United States, United Kingdom, Germany and India to get their views on the impact of coronavirus pandemic on cybersecurity landscape and how they are moving forward with the plans on a budget, staffing and investments to tackle the challenge. The business leaders showed a stern willingness on some vital ways to shape the future of the industry using digital transformation.

Digital empathy to end-service employees

Remote working is already facing issues like bad network, system or laptop breakdowns, browser jams, etc. Companies and employees are trying their best to get over it. A top employee who worked in a metropolitan city was forced to take his work remotely from his village which barely has a network in certain areas. Due to over handling of PCs and laptops during work from home and lack of scheduled office hours, breakdowns are turning to be routines. There is no way that a service agent could be called at any time to look into the matter.

Despite facing all these threats, companies planned to switch the working system to more technology-based platforms like cloud datasets and Internet of Things (IoT). This doesn’t mean simply VPNs. Companies have recognized that apps that promote productivity, collaboration and a positive end-user experience are a priority for creating healthy remote workforce. Microsoft has named this as ‘Digital Empathy.’ The term refers to companies ensuring that the end-users experience is inclusive.

Microsoft survey reveals that 41% of the business leaders are improving the end-user experience in the wake to bring productivity for remote workers. Employees can use more applications under the emerging technology. Many preferred to go for multi-factor authentication, an authentication method in which a computer user is granted access only after successfully presenting two or more pieces of evidence for an authentication mechanism. It was the top security investment made by companies during the pandemic.

Adopting to zero trust mindset

Organisations are adopting ‘Zero trust’ mindset where they take the principle of ‘never trust, always verify’ to mitigate the spread of breaches, limit access and prevent lateral movement. There is no assurance that whatever the employees do is protected as there is no security check on technology. Business leaders are forced to handle the influx of new, potential unsecured devices logging into corporate networks from employees homes. One wrong move and every hard work of the company will get paid off to someone else.

To counteract the unfolding barriers, zero trust policy is adopted by more than 51% of the leaders and businesses. Companies are speeding up investment in building trustworthy policies to ensure security. The report further suggests that in the near future, around 94% of the companies will start the process the deploying of new Zero Trust capabilities.

Blocking threats through diverse datasets

Microsoft has tracked more than eight trillion daily threat signals using a diverse set of products, services and feeds. Phishing scams and skimming attacks are the trending way of cybersecurity loots in the pandemic time. It could only be tackled with the blend of automated tools and human insight. According to the Microsoft report, 54% of the surveyed leaders agreed that they have faced phishing attacks since the beginning of the pandemic. Henceforth, a solution that caught their eyes was to use diverse cloud-based tools and datasets.

Evaluate risks with human efforts and technology

It looks like remote working is going to stay for a longer time than expected. Some multi-national companies have announced that they are willing to take work from home into 2021 as well. This directly gives an alert sigh to them to strengthen the security system. Companies ought to keep a constant check and evaluate the security system with a combination of human efforts and technology.

Microsoft reports suggest that cloud platforms can make it easier for organizations to look out the cybersecurity risk scenarios and contingency plans. Compared to on-premise or ground job organizations, cloud-forward and hybrid companies have more cyber-resilience. Meanwhile, 19% of the on-premises technology-based companies said they didn’t plan to embrace documented cyber-resilience plan.

The adoption of zero trusts, digital empathy on end-service employees, and diverse datasets and cloud tools has increased drastically to tackle cybersecurity issues during the pandemic. But it is unlikely that this could end soon. Since companies are changing to a more technological corridor on remote working, it is safe to maintain the organization with provided security tools.

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Top 10 Cybersecurity Trends to Watch Out For in 2021

Cybersecurity

How secure are your networks against any Cyberattack?

It’s not surprising that privacy regulators have a tough time to catch the cybercriminals who breach cyber networks to siphon off private data. Failed cybersecurity protocols form the crux of data breaches, ransomware attacks. Massive development in technology has its other side as well, equal malignant effects are seen in the other side of the law where cybercriminals are evolving their tactics to overweigh the impact of cybersecurity investments by the businesses.

It’s not surprising that 2019 saw over 3,800 publicly disclosed breaches as cyberattacks! Still, the number of cyber-attacks continues to grow year by year making the case of cybersecurity as an absolute requirement for every company.

Here are the Top 10 Cybersecurity trends that every business must watch out for in 2021-

Cloud Breaches

Businesses have moved to the cloud, curtesy the Covid-19 pandemic. The increasing confidence into public, private and hybrid data cloud paves way for new challenges. Cloud-based security threats owing to misconfigured security measures give way for stricter security protocols and security testing features. The rise in cloud adoption means an increase in thrust in infrastructure security.

Transparent Settlements

When working in the field of global financial settlements, businesses need to pay close attention to the latest happenings in cybersecurity. That’s certainly the case for Transparent Systems, which makes way for online payments through cryptographic systems. The dynamic BFSI industry would not like to surpass this trend.

AI Integration

Security professionals, developers, and engineers are all under pressure to achieve more with less cybersecurity, so automation and integration are essential across the board. By incorporating security into agile processes like ModelOps and DevOps, businesses can effectively manage risk and maintain the quality of development.

BYOD and Mobile Security

Covid-19 has let businesses to allow employees to use their devices for work. The concept of Bring-Your-Own-Device (BYOD) is encouraged to minimize costs and increase operational productivity by elevating employee flexibility through remote work and leveraging the gig economy.

IoT Threat

Data from sensors are making the Internet of Things more worthwhile. Multiple research reports say that cyberattack traffic has seen a three-times increase to rise to 2.9 billion events. Things will get more and more serious over the years. Expect more of hardcoded passwords, non-encrypted personal data, updates of software and firmware form unverified sources, issues related to wireless communication security and more. All of these are actual threats connected with IoT devices placed at home, public place, or enterprise.

Insider Attacks

Verizon’s report tells that 34% of cyber-attacks in 2019 were misdeeds of internal employees. Surprised? Employees are increasingly getting involved in data leaks intentionally or unintentionally. Businesses must brace for USB drives of their staff that take away massive information to help fraudsters with the attack or follow suspicious links attached to emails.

Data Privacy

Data highways pose a rampant cybersecurity threat. The public concern about their data management has to be a top priority for those businesses present online. The rising number of data breaches, make it tough for businesses to ignore data privacy concerns.

The usage of third-party data for business gains must fall under the following purviews-

• Individuals must how their data will be used.

• Data encryption cannot be ignored.

• Individuals must have an option to forbid sharing their data.

• Companies have to inform if there has been any public data breach within a stipulated time.

Cyber Insurance

To protect against the cyber-attacks, a cyber insurance policy is imperative to help businesses mitigate financial risks from cyber-attacks. According to the report by PWC, some of the US companies have already bought some type of cyber risk insurance and many are expected to follow suit.

Investments for Security

With increasing awareness among businesses, 2021 will see an increase in their spending on cybersecurity. There will also be a rising demand for more security experts across geographies. The demand will far exceed the supply of qualified experts, leading to a widening skill gap, which will be filled with automation, SaaS vendors and technological solutions to meet this challenge.

Cybersecurity Skills Gap

The demand for cybersecurity professionals exceeds supply. As many as two in three organizations worldwide have reported a shortage in their IT security staff. Consequently, automated security tools such as online vulnerability management solutions would become essential to maintain a good security case.

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The Importance of Predictive Artificial Intelligence in Cybersecurity

Cybersecurity

Data security is currently more essential than any other time in recent memory. The present cybersecurity threats are unimaginably smart and advanced. Security experts face an every day fight to identify and assess new dangers, identify possible mitigation measures, and find some solution for the residual risk.

This upcoming age of cybersecurity threats requires agile and smart projects that can quickly adjust to new and unexpected attacks. AI and machine learning’s ability to address this difficulty is perceived by cybersecurity experts, most of whom trust it is a key to the eventual future of cybersecurity

The utilization of AI systems, in the realm of cybersecurity, can have three kinds of impact, it is constantly expressed in the work: «AI can: grow cyber threats (amount); change the run of the mill character of these dangers (quality); and present new and obscure dangers (quantity and quality). Artificial intelligence could grow the set of entertainers that are fit for performing noxious cyber activities, the speed at which these actors can play out the exercises, and the set of plausible targets.

Fundamentally, AI-fueled cyber attacks could likewise be available in more powerful, finely targeted and advanced activities because of the effectiveness, scalability and adaptability of these solutions. Potential targets are all the more effectively identifiable and controllable.

Predictive Defense

In a mix of defensive techniques and cyber threat detection, AI will move towards predictive techniques that can identify Intrusion Detection Systems (IDS) pointed toward recognizing illegal activity within a computer or network, or spam or phishing with two-factor authentication systems. The guarded strategic utilization of AI will likewise focus soon on automated vulnerability testing, also known as fuzzing.

Another border wherein AI will have the option to state its usefulness is in the field of communication and social media, improving bots and social bots and attempting to build safeguards against phenomena related to manipulated digital content and manufactured or deepfake media, which comprise of video, sound, pictures or hyper-realistic texts that are not effectively conspicuous as fake, through manual or other conventional forensic techniques.

NDR

To protect worldwide networks, security teams watch for peculiarities in dataflow with NDR. Cybercriminals introduce viral code to vulnerable systems covered up in the monstrous transfer of data. As cybersecurity advances, bad actors make a solid effort to keep their cybercrime strategies one stride ahead. To dodge cutting-edge hacks and breaches, security teams and their forensic investigation methods must turn out to be even amazing.

First and second wave cybersecurity solutions that work with conventional Security Information and Event Management (SIEM) are defective:

• Overpromise on analytics, yet essential log storage,incremental analytics, and maintenance costs are enormous.

• Flag huge amounts of false positives as a result of their context impediments.

Threat Identification

Risk identification is a fundamental component of embracing predictive artificial intelligence in cybersecurity. Artificial intelligence’s data processing capacity can reason and identify threats through various channels, for example, malevolent programming, dubious IP addresses, or virus files.

Besides, cyber-attacks can be anticipated by following threats through cybersecurity analytics which utilizes information to make predictive analyses of how and when cyber-attacks will happen. The network action can be analysed while likewise comparing data samples utilizing predictive analytics algorithms.

At the end of the day, AI frameworks can anticipate and perceive a risk before the actual cyber-attack strikes.

Cybercrime Prevention

The best way to keep a company day in and day out safe is to caution clients before attacks occur. Hackers execute zero-day attacks to exploit obscure vulnerabilities in real-time. First and second wave network security tolls are powerless against these attacks.

Only a third wave, unsupervised AI can identify and surface zero-day attacks in real-time before calamitous harm is done. It enables you to retaliate:

• Artificial intelligence-driven alarms on known vulnerabilities

• Top tier threat chasing tooling

• IP addresses of programmers before they attack.

Conclusion

Governments can play a critical part in addressing these risks and opportunities by overseeing and driving the AI-actuated transformation of cybersecurity by setting dynamic norms for testing, approving and affirming AI tools for the cyberspace applications, from a more minor perspective, and by elevating standards and qualities to be followed at the global level.

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Getting Cloud Right: The 4 Crucial Aspects of Cloud Security

Cloud is not an emerging trend anymore. It is a mature business model for IT organizations to stay competitive in today’s challenging digital landscape.

Cloud is not only redefining the IT landscape but also how security measures are developed and deployed. The migration to the cloud has forced organizations to rethink security and privacy from scratch.

Approaches to robust security in the cloud are quite different from those in an on-premise IT environment. As a result, your current security expertise may not be entirely relevant to your new, cloud-based environment.

So, before moving mission-critical assets to the cloud, organizations don’t need just security but robust security that they can trust and monitor.

Here are four essential aspects that help develop robust cloud security, so that your migration to the cloud lives up to its full commercial and strategic promise.

The 4 Crucial Aspects of Cloud Security

1. Data Security

As data moves from a company’s secure perimeter to the cloud, organizations must move to a layered model that ensures the proper isolation of data in the shared, multitenant cloud. The data must be encrypted using methodologies such as cryptography and tokenization and secured by controls like multi-factor authentication and digital certificates.

Monitoring tools must also be deployed to reinforce security tools such as intrusion detection, Denial-of-Service (Dos) attack monitoring, and network traceability tools.

It’s imperative for organizations to stay abreast and adopt security innovations to gain complete visibility of their data and information.

2. Compute-level Security

Organizations must employ compute-level security for end systems, managed services, and various workloads and applications in the cloud environment.

The first component of compute-based security is automated vulnerability management, which involves identifying and preventing security loopholes across the entire application lifecycle.

The second component is providing operational security for anything considered to be a compute system or compute workload.

Robust cloud security requires automatic and continuous inspection and monitoring for detecting any anomalous or malicious activity.

3. Network Security

Securing networks in the cloud are different from securing a traditional network. Network security in cloud computing involves four principles:

  1. Micro-segmentation or isolation of zones, workloads, and applications using layers of firewall
  2. Network controls for traffic flow down to the user level
  3. Applications should use end-to-end transport-level encryption
  4. Using encapsulation protocols such as SSH, IPSEC, SSL while deploying a virtual private cloud

In addition to these principles, organizations must deploy Network Performance Management (NPM) tools to gain access to monitor network performance and ensure that the cloud service provider is on par with the Service Level Agreements (SLA).

4. Identity Security

A robust Identity and Access Management strategy is essential for a successful migration to the cloud as it provides a cost-effective, agile, and highly flexible integrated access solution.

IAM security framework comprises of five domains of identification, authentication, authorization, access governance, and accountability.

It allows IT administrators, to authorize who can access specific resources, giving the organization full control and visibility to manage cloud resources centrally.

In Conclusion:

These four pillars are essential for developing comprehensive cloud security. However, it’s crucial for organizations to understand their cloud provider’s security architecture in terms of firewalls, intrusion detection techniques, and industry standards and certifications. This helps the organization align its own security architecture with the Cloud Service Provider’s (CSPs) architecture constraints.

Moreover, organizations must provide training to the employees and create awareness of the security risks associated with cloud migration. Developing a culture of constant vigilance is one of the easiest and most cost-effective approaches for securing cloud data.

Author Bio

Anand is a senior content writer at the Veritis Group working on market research, collaterals, whitepapers, technology news, etc. Reading Books, Blogging, Social media are other work-related interests among various other skill

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The New Dawn of Quantum Key Distribution for Secured Cyber-security

Cybersecurity

As Cybersecurity concerns have gained momentum, introducing QKD will ensure a secured communication platform for sharing data and information.

In an age, where technology is all about sharing data amongst organizations, a secured network is imperative to ensure that the data is shared without the privacy being infringed. With the on-going technological war going between the United States of America (USA), and China, the security concerns over the sharing of data, has been an upmost challenge amongst organizations. As China is plaguing the path to ride up in the ladder of providing fastest communication network, the USA is gaining momentum in the Quantum Supremacy battle with China,

Verizon, a USA-based telecommunication company has successfully deployed Quantum Key Distribution for securing its communication. The company streamed video from its 5G Lab in Washington DC to two remote offices, to ensure that the network is safe and secured.

What is the Quantum Key Distribution?

Proposed in 1970, the Quantum key Distribution(QKD) is a technology that ensures the long-term security in the distributed network. It took the technology almost 30 years to evolve and be utilized, however, now it has become one of the major reasons for tug-of-Power amongst nations.

Any communication demands security and depends on the Public Key Infrastructure (PKI), which authenticates users, devices, and multiple parties, to sign-up documents rendering them, liable for a unique crypto-graphic key. The key can then later be identified as for the user in a digital network.

However, a challenge that has been observed, while using PKI is; the possible infringement in the security of the said network. As data is shared amongst devices, hackers are able to intercept the keys and decrypt the data, without the knowledge of either the devices or the users.

To combat this challenge, QKD, not only halts the infringement of data but make it impossible for the hacker to associate with devices sharing the data. This is heavily governed by the “quantum systems”, where the data is encoded as a single photon, that generates a key which is incorporated in a crypto-graphic protocol, to ensure that security is maintained in the various applications, where the QKD is deployed. One of the major success with this type of Quantum application is that if the hacker tries to intercept the keys, a combination of errors and mistakes would be displayed thus disclosing the identity of the hackers. Also, it must be noted that this happens before any data is encoded, thus absolutely thwarting the infringement of security network, and saving the day for many organizations from a possible cyber attack.

Maintaining Symmetric Encryption using QKD

Another challenge that has been observed with PKI, is the breaking of RSA in Public Key Cryptography, which renders vast amount of sensitive data encrypted with the algorithm of quantum computing and making it vulnerable. This challenge can be rectified by collating the Quantum Random Number Generation (QRNG) with QKD, which creates a symmetric encryption keys to retain and resist the crack by the quantum computing.

Quantum Cybersecurity

A Quantum Computer solves complex mathematical operations easily, by utilizing algorithms behind encryption keys for protecting data and internet users. However, because of PKI, it can easily breaks up the encrypted code and disclose the information, thus making the sensitive data readily available to the hackers.

This is majorily concerning in the areas, where a secured data, is the key in its operations. For example, a possible infringement of cybersecurity by using quantum computing in a healthcare set-up, can lead to sharing of patient’s data and information amongst the hackers, which can later be misused.

Hence to ensure that Quantum computing is secure, QKD can be applied to make sure that networks are secure.

OPENQKD Project

Toshiba has already started an initiative known as OPENQKD Project for building the most secure communication infrastructure in Europe. The Project aims to develop an experimental testbed on QKD, for testing interoperability of equipment supplied by different manufacturers. Since QKD is currently deployed in a fibre-optic network, the project will test the QKD in telecommunication sectors amongst the listed European countries.

The Assistant Managing Director, at the Toshiba’s Cambridge Lab, Andrew Shield says, “Quantum communication technology is maturing very rapidly, with several large networks now in operation around the world. OPENQKD has a focus upon developing and demonstrating use cases for QKD technology, which will accelerate its commercial adoption in a number of different market sectors. We are delighted to contribute to this ecosystem of companies developing complete solutions that will secure the future IT infrastructure of European businesses and citizens.”

Quantum Communication Infrastructure

This is another project by the European Union for facilitating strong networks, and seamless communication, across the European Grid. This project will observe QKD running over fiber and satellite networks which are expanded in Europe. The QCI will implement a combination of terrestrial and space, quantum-based communication infrastructure, that can guarantee security of digital transactions in the short and long distances over Europe.

Thus, as the world is witnessing a leap of technology with 5G, AIoT, AI and artificial intelligence, this advancement of quantum computing would be a game changer in cyber-security.

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Five Types of Cyber Security for Organizational Safety

Cyber Security

It is estimated that by the year 2021, the global economy would bear the loss of US$6 trillion due to cyber attacks.

Life without the web is hard to imagine. Over the past decade, an exponential increase in the usage of the Internet has been observed. With smartphones and Laptops becoming part of everyday activity, internet consumption has also increased. Humans are just one click away to gain knowledge about everything. With the advent of the World Wide Web in 1995, the technological world has already stepped into an era of revolution. However, despite many attributes of the Internet, one major challenge observed by almost all the enterprises is possible cyber-attacks and malware. Reports suggest that by the year 2021, the total loss in the global economy would be US$6 million due to cyber-attacks.

That’s why a strategic approach must be formulated to mitigate cyber-attacks. In this article, we will observe five types of cybersecurity techniques, which will help in reducing the cyber attack amongst enterprises and organizations.

Critical Infrastructure Cybersecurity

The critical infrastructure cybersecurity technique is deployed to secure the systems that have the critical infrastructure. They are systems on which the societies heavily rely on. These include- Electricity grid, Water Purification, Traffic lights, Shopping centers, and hospitals. They are not directly linked with a possible cyber infringement but can act as a platform through which the cyber malware can happen to the endpoints that these systems are connected to.

To mitigate the possibility of cyber malware or reduce cyber attacks, the organizations responsible for maintaining critical infrastructure must access the vulnerable points for protecting the businesses that they are liable with. Organizations that utilize the critical infrastructure must also evaluate the amount of damage caused due to cyber attacks. These organizations must have a contingency plan that would help their businesses to bear no brunt of the cyber attacks.

Network Security

Network security is a technique that enables organizations to secure computer networks from intruders, targeted attackers, and opportunistic malware. As the Internet has an assortment of networks associated with various websites, it is often observed that the organizations become targeted with unauthorized intrusion, with malicious intent. Also, as many websites contain third party cookies, the users’ activities are tracked. Sometimes this might prove helpful for organizations to grow their businesses, but often customers become prey to fraud and sexual exploitation. Hence to counter the cyber attacks and malware associated with the network, organizations must deploy a security program to monitor the internal network and infrastructure. Experts have suggested leveraging Machine learning technology that will alert the authorities in case of abnormal traffic. The organizations must continue to upgrade their network security by implementing policies that can thwart cyber-attacks.

Experts suggest the following methods for upgraded network security:

• Extra Logins

• New Passwords

• Antivirus programs

• Firewalls

• Incognito Mode

• Monitored Internet access

• Encryption

Cloud Security

Most of the organizations are now inclined towards utilizing artificial intelligence to improve their businesses, enhance customer experience, and for efficient operations. With the plethora of data available at each step of organizational set-up, it becomes difficult for organizations to store these data in physical form. Also, it is observed that often this data is unstructured and is derived from unknown sources, which can cause a potential threat to the organization’s network. Hence, Amazon Web Services, Microsoft Azure, and Google Cloud present their customers with a cloud computing platform, where the users can store, and monitor data, by implementing a security tool.

Reports suggest that on-premise environments are highly prone to cyber malware. By integrating the system with a cloud security platform, the users will be rendered with the secured data, thus mitigating the possibility of a cyber-attack.

Internet of Things Security

The Internet of things is being observed to be the next tool for the technological revolution. A report by Bain and Company has estimated the market size for IoT to expand by US$520 billion by the year 2021. With the help of its security network, IoT provides the user with a variety of critical and non-critical appliances such as the appliances, sensors, printers, and wifi-routers amongst routers.

The report suggests that one of the main obstacles for implementing IoT in any organization is the threat to security. By integrating the system with IoT security, organizations are provided with insightful analytics, legacy embedded systems, and secure network.

Application Security

The users get infatuated with different applications, which include hardware, software, and devices. But an application becomes equally prone to cyber-attack or malware like the networks. Application security thwarts the cyber-security infringement by adopting the hardware and software methods at the development phase of the project. With the help of an application security network, the companies and organizations can detect the sensitive data set and secure them with specific applications about the datasets.

Some of the methods associated with application security are:

• Anti-virus Program

• Firewalls

• Encryption Programs

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Artificial Intelligence and ML in Cybersecurity: Is it Worth the Hype?

Cybersecurity

How AI and ML are helping us to fight cybercrime, and why it can be overhyped?

The world is going digital at a pace faster than the blink of an eye. Artificial intelligence (AI) and machine learning (ML) have been heralded as a means of digital technology that can solve a wide range of problems in different industries and applications. This also includes the realm of cybersecurity. Capgemini’s Reinventing Cybersecurity with Artificial Intelligence Report, which was published last year, found that 61% of enterprises say they cannot detect breach attempts today without using AI technologies. In a similar survey by Webroot, it was observed that 89% of IT professionals believe their company could be doing more to defend against cyberattacks. And surprisingly, 64% of the respondents admitted that they are not sure what AI/ML means – despite increased adoption on a global scale. Last month, Interpol reported in its Covid-19 cybercrime report that two-thirds of EU member countries had witnessed a massive increase in malicious domains registered with the keywords’ COVID or ‘Corona.’ These sites are aiming to take advantage of the growing number of people searching for information about COVID-19 online. While this means COVID-19 has been instrumental in cybercrimes’ uptick, these malicious activities were wreaking havoc before the outburst of a global pandemic.

As cyberattacks have increased in both volume and complexity, conventional ways of detecting malware and threats are failing. Conventional methods like anti-malware software installations or login audits aren’t sufficient in today’s scenario. This is because most of these methods relied on rules-based or signature-based pattern matching, which means they can only be helpful against known virus signatures or threats. During COVID-19, the attackers exploit the internet in the disguise of providing help and information when they are trying to get access to sensitive personal information and misuse them for ransomware and similar illegal activities. In the business domain, attackers are taking advantage of the uncertainty of industry and stealing information. To counter these problems, AI and ML can certainly help. However, we should keep in mind not to over hype their potential.

AI is extremely good at attempting to mimic human intelligence. While it is still far beyond replacing humans’ cognitive thinking, it is proficient at finding anomalies and irregularities and reducing errors and faults in the operational tasks. On the other hand, ML can analyze the data from the past and evaluate the use cases for the future – processes that can help identify possible cybercrimes and take proactive preventive measures. Diving into the 2020s, it is evident that business and technology analysts expect to see solid applications of AI and ML accelerate.

Meanwhile, in the same report, Capgemini found that as digital businesses grow, their cyberattacks’ risk exponentially increases. There is also a higher probability that the attackers can weaponize AI and ML tools and automate it to boost their attacks. Further, similar to businesses deploying AI and machine learning to complement the shortage of human resources and save cost in cybersecurity, cybercrooks can also use it for the same. Experts also argue that AI can be used to hack into a system’s vulnerability much faster and better than a human. Both AI and ML can be used to disguise attacks so effectively that one might never know that their network or device has been affected. So, spotting every malware variation, especially when it is deliberately disguised, is problematic for defenders who are attempting to stop even the unknown, new types of malware attack.

Fortunately, the latter can be used to our advantage too. As, ML is used to develop new forms of malware, it can also be used to detect one. For instance, in 2018, Microsoft’s Windows Defender used machine learning algorithms to identify and block an attempt to install malicious cryptocurrency miners on hundreds of thousands of computers. Even Cylance used ML to uncover and protect users against — a new campaign by OceanLotus, a.k.a. APT32, a hacking group linked to Vietnam. Apart from that, AI can help protect endpoints. This is becoming ever the more important as the number of remote devices used for work rises amidst COVID-19. AI establishes a baseline of behavior for the endpoint through a repeated training process. If something out of the ordinary occurs, AI can flag it and take action — whether that’s sending a notification to a technician or even reverting to a safe state after a ransomware attack. This provides proactive protection against threats, rather than waiting for signature updates, informs Tim Brown, vice-president of security architecture at SolarWinds.

ML algorithms can also help detect and remove outliers from training data sets to address the data poisoning attacks. AI-based risk management systems can be utilized to identify changes in those methods and to determine password patterns of explicit customer behavior. In doing as such, they will alert their Cybersecurity teams when the pattern does not work.

There are many ways AI and ML can be leveraged to fight cybersecurity issues. However, it is always better to define what kind of threats one wants to address using these technologies. Besides, businesses need to have a solid understanding of how these algorithms work and how they can enhance security and train the algorithms and others. This can help to enhance the cybersecurity posture and minimize the hype.

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How to Manage Cybersecurity on a Budget

Cybersecurity

Cybersecurity is a constantly evolving field, so enthusiasm for lifelong learning is an absolute necessity for infosec experts. Staying in front of the troublemakers implies staying aware of the changing threat landscape and the tools important to leave malicious entertainers speechless.

Cybersecurity should be a significant focus for private companies in 2020. Furthermore, it shouldn’t be costly.

According to Neill Feather, President SiteLock, organizations are getting progressively disappointed with their security solutions. Yet, regardless of the amount you pay, there are no alternatives that remove 100% of the risk. So while it’s as yet a smart thought to pay for security solutions when you can manage the cost of it, you additionally should make some simple strides all alone to better your odds of keeping away from an attack.

As overall IT financial budgets develop tighter, it turns out to be additionally challenging to improve IT security. In a recent IBM security study surveying more than 2,800 IT and security experts, 69% stated that funding for cyber resiliency is insufficient.

In any case, even as IT security threats keep on advancing, it’s the more principal IT security enhancements that can give the most foundational insurances to data security. In light of that understanding, here are different ways to improve cybersecurity on a limited budget.

Improve Your Passwords

Ideally by this point, you’ve just changed all of your passwords from “password.” But regardless of whether you have a password you believe is secure, it can prompt difficulty down the road if you repeat it on multiple accounts. So all things considered, you can invest in a password manager, which can run from about $15 to $40, to assist you with overseeing diverse secure passwords for each account.

Utilize Layered Security Processes

Each business needs to have a layered security way to deal with impede cyber attackers and hackers. The significance of patch management couldn’t be more important, an affirmation of updated operating systems and applications is fundamental. It’s essential to integrate antivirus, spam identification, and filtering software on every PC, while likewise protecting the network by means of proper firewall configuration.

Cutting-edge firewalls are a foundational element of forestalling outside attacks to the network. Today, integrated firewall/VPN customer solutions can naturally enforce fine-tuned security in a business’ network, as well as remote offices and on an individual user level.

Begin Using Two-Factor Authentication

You can make your data much safer by requiring something beyond a password to sign in. Two-factor verification typically involves the user entering a password and afterwards receiving a code by means of text or email that they at that point need to enter to really get to the account. It can likewise require different things like a fingerprint or even face scan

Two-factor verification is already available on platforms like Google, Apple, Microsoft and Twitter. So it shouldn’t cost you anything other than the ideal time to make sure about those accounts. You can likewise invest in a service that helps you set up two-factor verification for your own systems for only a couple of dollars for each month.

Consolidate Endpoint Protection with Identification

Organizations need to remain vigilant and consistently utilize a dedicated cybersecurity solution that combines endpoint security with detection capabilities. If fundamental, go to a free endpoint security tool, for example, Kaspersky’s Anti-Ransomware Tool for Business, which shields computers and servers from ransomware, cryptominers, adware, pornware, and that’s only the tip of the iceberg.

Help your Clients

To protect your clients from phishing attacks, teach them on the potential deceives that malefactors may use. Normally send them data on the best way to identify fraud and what moves to make in this circumstance. If a client’s account is taken over, an anti-fraud solution can identify abnormalities and suspicious user behavior will be of tremendous worth.

Conduct Network Vulnerability Assessments

Having a security expert evaluate your IT network for weaknesses and vulnerabilities is an unquestionable requirement for each business. This ought to be a periodic cycle, since vulnerabilities can happen with any progressions to the network. This process should go hand in hand with patch management and software updates. Obviously, having IT support to follow up on the evaluation is fundamental to close the vulnerabilities.

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