Dear Ajitesh Baloria , I think the following topics for the thesis can be interesting:

• Effective Cyber Security Strategies for Internet of Things (IoT)
• How to Can Upgrade and Improve Cyber Security in Wireless Networks? (Specialty: Outdoor Wireless Networks)
• Effectiveness and Promotion of Cyber Security in Inter-Airport Networks and Flight Safety

Best Regards :)

It is necessary to know whats your background to suggest a related subject, the 2 good topics are:

• developing a detection algorithm for cyber threats in Big data
• cyber security in smart grid networks ( with IoT consideration )

Optimization of Elliptical curve cryptography for resource constrained networks.

Please visit the www.ausjournal.com for more information.

How about quantum-proof Lamport signatures? To my knowledge these are the only ones that will remain secure with the advent of quantum computers, though of course I could be wrong. To learn more: https://en.wikipedia.org/wiki/Lamport_signature

How do we secure wireless network against cyber attack? -

The wireless network is very prone to attacks and mainly in public places and the current protection mechanism are not robust enough to fend off attackers.

Something you are familiar with and have an interest in. Anything else is just research that's most likely been done before and you're probably gonna replicate, modify, or attempt to disprove.

It is really hard to find literature to support cutting edge technology. Meanwhile, the amount of test and evaluation you would have to do is quite exhaustive.

Search in the Global approved dissertation database and look for topics that seem interesting. I would then look at what is the latest research in those areas where you can modify those studies based on current technologies and threats.

Vernon

This is something you should discuss with your adviser. Look around you, read a lot of industry papers, see what challenges society/industry are trying to solve and find one that is close to your heart and that your adviser will approve of.

Remember that you will have to "live" with your chosen topic for years, as you go through your academic career. So, chose something you are passionate about.

I agree with others who have suggested you to discuss this with your supervisors. Do chose a topic that fits your expertise and your supervisor’s interest.

Algorithms for detecting, predicting and preventing zero-day attacks. These attacks can persist in networks for days, months and even years while they do significant damages. Intelligent research on access control methods that prevent them from gaining access to the network is needed.

Issues & Challenges - A scalable Framework for detecting and removing Distributed Denial of Service (DDOS) Attack

2. Parallel Privacy Preserving Computation Technique (In the first chapter focus of what is this, how it works, which technique is used in PPPCT, how an attacker can lunch attack, adversary model, what is XOR technique for error detection and corrections)

(in the second chapter focus on the work done by different researcher between 2015 & 2019, its a long chapter, you have to write all the technique here in this chapter) (In the 3rd chapter optional you clan write these thing at the end of 2nd but separate chapter will highlight your work, write here which problem are more domineer among these, how can you improve it) (in the 4th chapter your methodology/proposed solution) (fifth chapter security analysis using BAN logic and Diffie-Hellman Assumptions) (sixth Chapter Performance analysis which can be seen from three angles i. Storage overhead ii. communication, iii. computation, and vi. comparison analysis----------------- keep in mind limitation of your research will goes here at the end of this chapter) (7th chapter is conclusion and recommendations, major findings etc) (chapter 8, all the references you have used in your research, don't include references form yourself or you don't have used).

For more assistant feel free to contact me, I have command over these things .....

Issues in Cyber Forensics attacks , issues in Anti-forensic cyber attacks , Efficient management of cyber forensic data are a few to list . Please note, knowledge of cyber security is a pre-requist for cyber forensics.

Good question.

You need to give your experience and background in this field

Some of the topics:

Lightweight cryptographic algorithm for IoT devices: balancing security and energy efficiency

Resilient security framework for IoT based on AI and Machine Learning

IoT Intrusion Tolerance Techniques

User privacy protection in cyber-physical-social spaces especially on mobile devices and on online social networks

Biometrics and other new authentication technologies, for identity management, device authentication and access control

Fake news detection in social media using AI and ML

Blockchain trust based social media sharing

This is something you should discuss with your adviser.

1. Defending against energy draining nodes in wireless sensor networks.

2. Mapping the Internet Backbone as an Underlay for Improved Communications.

3. Big Data in Healthcare: Addressing the Current Security Challenges of Electronic Health Systems in Healthcare Organisations.

4. Cyber attacks in organisations and the challenges for organisations.

5. Defusing a simmering crypto-war

6. Data Protection vs. Data Privacy: the new regulation is focused on protecting individuals’ privacy but will this regulation negatively affect businesses too much?

7. Cold boot attacks on encryption keys.

Securing Internet of Things (IoT) systems is one of the most important aspects in the recent security trends.

The cyber security in the SDN systems is also another paradigm that need to be explored and compared to the security systems in traditional network architectures.

Ajitesh Baloria Its about to decide only by you and your adviser. Mostly you have to decide in which area you have in depth knowledge, where you feel huge research gap, where you feel it can be filled by you and your idea.

There are alot of areas that need to be explore in cyber security. Like you can work on by

1. Adding more malwares in malware families

2. You can work on early detection or prediction for DDoS(hulk,slow etc), infilteration and many more attacks

3. There are still lack of optimized parcer that can efficiently parse the data on runtime.

4. Deep learning, now a days is an effective solution for NIDS

Many more areas are still need to explored.

Best wishes

Regards

- Increase cyber security by designing MIMO telecommunication systems

- Design of MIMO or array antenna to increase cyber security

DDoS attack is one of the most dangers types of attack targeting the availability of the internet resource. this type of attack targeting any device that has internet connection and there is no optimum solution yet. However, for more information visit may RF profile if you interesting.

Conference Paper An efficient approach for network traffic classification.

Article Instance Based Classification for Decision Making in Network Data

Article Instance based dynamic feature selection for network traffic...

Dear Baloria,

Interesting question, while cyber security is a very broad discipline. Nevertheless, here is a non exhaustive list, i hope you find them useful:

• Hardware, software and social-engineering attacks on RSA encryption and authentication.
• Combating software and hardware piracy.
• Cybersecurity of biometric authentication.
• What motivates cybercriminals, aside from money?
• How do people become cybercriminals?
• The correlation between people's views on physical and cybersecurity.
• The impact of cultural and political biases on cybersecurity habits (high-quality passwords, regular backups, etc).
• IOT.
• Vitualization.
• Exploit development.
• Malware analysis.
• Core Android / IOS.
• SCADA.
• How criminals think.
• The most effective way to stop them.
• Cloud Security.
• Encryption Algorithms and can it be broken?
• Computer Forensics.
• Social Engineering.
• Exploits in old and new devices.
• Steganography.
• How to stop criminals from breaking in our network?
• How to make defenses stronger so that threats could be minimized?
• Automation to help in threat intelligence, risk management etc.
• Smart contracts.

Dear Colleagues and Friends from RG,

The important Trends in Cyber Security.

I propose the following topics, questions and research problems in cyber security issues:

On the basis of the above considerations and conclusions from the discussion on interesting issues discussed, I formulated the following thesis that synergy and correlation between the development of cybercrime and cybersecurity are multifaceted. In addition, the issue of cybercrime and cyber security belongs to the key determinants of the development of electronic internet and mobile banking as well as data transfer with the participation of new online media, including social media portals collecting and processing personal data of Internet users. In recent years, industry 4.0 advanced data processing technologies have been increasingly used in the field of cybercrime and cyber security.

In the world of living organisms, antigens and antibodies are part of the immune system. They form and develop as a result of attacking the body by microbes and toxins, which they learn to fight and fight.

The whole process involves the intelligent creation of an anti-factor for a specific external factor potentially adverse to the body. Similar processes can be considered in the issues of computer viruses and the improvement of anti-virus programs, i.e. in the field of cybercrime and cyber security, to which artificial intelligence technology may be implemented. Therefore, you can consider building intelligent anti-virus programs that, acting on computers and mobile devices such as smartphones, will create some kind of anti-worms, anti-viruses, anti-key-loggers, anti-malicious programs, anti-virus applications etc., when computer viruses and other forms of cybercriminal techniques, malware attack a specific IT system connected to the Internet.

According to this concept, it would be necessary to implement artificial intelligence in the field of cyber security. If such solutions arise, there is also a risk that cybercriminals will also start using artificial intelligence to improve the technique of cybercrime attacks. In this way, the rivalry between cybercriminals and IT specialists employed in companies and institutions to ensure and improve cyber security systems, which has been ongoing for several decades, will be continued and will enter the next level of technological competition.

Another issue related to cybercrime concerns Hamer's attacks on Internet users' mailboxes. In recent months, many mailbox users receive strange emails of unknown origin, which are sent as spam from private other email accounts or others with false information. Attachments containing false information are attached to many of these suspicious emails, usually sent by cybercriminals and hackers. Attachments are usually of the WORD * .doc document type, Acrobat Reader * .pdf or other formats, and often contain Ransomware-type viruses.

These are very dangerous viruses that encrypt access to a computer's disk. In addition, cyber criminals are increasingly using mailboxes established on the e-mail portal to send infected e-mails to subsequent Internet users by generating fake e-mails so that they look as if a specific user of the mailbox would send e-mails prepared by cybercriminals to their friends. These types of cybercrime techniques are becoming more common. Why are Internet technology companies that dominate the market and offer e-mail services do not improve the security of e-mail communication systems using e-mail boxes to significantly reduce cybercriminals' activity harmful to citizens? A good solution is to encrypt transmitted data and set up strong passwords to log into IT systems in the cloud. In addition, Big Data database systems, technologies for collecting and processing data in the cloud also use other techniques to secure data against the activity of cybercriminals and hackers.

The importance of both Data Science and cybersecurity will grow in the coming years, as technologies of advanced computerized information processing and data teletransmission on the Internet are developing, and these issues are also related to the security of processing, collecting data in the cloud, data transmission on the Internet. Currently, the importance of information technologies etc. related to the technological revolution known as Industry 4.0 is growing. This revolution is determined by the development of the following advanced information processing technologies: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced technologies of Data Mining.

Digitized full knowledge and learning achievements by making knowledge bases available on the Internet create new categories of information security risk on the Internet. In this way, new concepts of information security risk management processes on the Internet are developed. One of the key aspects of managing information security risk on the Internet is the improvement of computerized security instruments for large sets of information gathered in Big Data database systems. In the perspective of the next few years, the issue of managing the risk of information security gathered in Big Data database systems and knowledge bases made available on the Internet, information contained on online information portals and social media portals will become a key problem in analyzing the development of cybercrime and improving cybersecurity instruments.

My research shows that the financial sector belongs to those sectors in the national economy in which the possibilities of using ICT, Internet, Industry 4.0 technologies including artificial intelligence, learning machines, Internet of Things, Business Intelligence, Big Data, Data Analytics etc. are the largest. Some of the ICT, Internet and Industry 4.0 information technologies have been implemented for many years in sales systems, electronic internet and mobile banking systems, for banking analytics, for financial risk management etc. in financial institutions. However, the use of the huge opportunities offered by artificial intelligence in the field of finance is just beginning, but the potential for this use is huge.

The key determinants of the development of electronic online banking and security of data transfer on the Internet include the following issues: Development of internet technologies used in business processes. The development of electronic internet banking, including mobile banking developed on mobile devices, including primarily smartphones. Improving techniques for transferring financial and sensitive data over the Internet. Security of data transfer on the Internet. Analysis of techniques used by cyber criminals and improvement of security systems and IT systems risk management processes, data transfer on the Internet. The use of blockchain technology and Industry 4.0 technology to improve cyber security systems.

On the other hand, large commercial banks generate high financial surpluses enabling the implementation of modern integrated IT systems, online banking, Business Intelligence data analysis systems, data processing platforms in Big Data database systems, etc. There have already been situations of unethical use of modern ICT solutions, analysis of comments contained on social media portals, during which the bank verified the customer data entered in the loan application also by scanning the information that the potential borrower enters in the social media comments. This informal verification took place without the knowledge of the potential borrower and then may be the basis for suing the bank.

However, the bank's client is not always aware that he can be monitored in such a way by public trust institutions as the bank should be. Of course, these types of cases, which we know from the media is supposedly a margin of the entire banking, which can be one of the categories of a new type of unethical practices typical of the so-called Shadow Banking. However, only part of this type of information gets into the media. Perhaps it is only so-called the "tip of the iceberg" of this problem. The situation is similar in the situation of cybercriminals' attack on banking ICT systems or electronic banking platforms. If this type of event can be kept secret, customers do not find out. This is because the media only receives information about some of these types of events.

Below I have described the key determinants confirming the formulated research thesis. To the above discussion I would like to add the following conclusion formulated as a summary of my earlier considerations on this topic: the security of private and personal data transferred on the Internet. Apparently up to 90 percent data downloaded from websites to Big Data database systems for their analysis is unstructured. When reading and copying all text data and possibly other data for the purposes of Data Analytics, Data Science, Business Intelligence, sentiment analysis of Internet users' opinions etc. carried out in Big Data database systems, usually all available data is downloaded.

It is up to the analyst person how and how the data filtering method will be used, whether he will act ethically or remove sensitive personal data of people described on individual websites, including private data read and copied from posts, comments, entries etc. contained on internet forums and social media websites. Private data contained in posts, comments, entries, etc. contained on internet forums and social media portals are not usually protected against currently used tools, programs used to download, copy data, download full content of websites. Therefore, there is a serious ethical problem regarding this sphere of research and analytics of data downloaded from websites. Technological progress is usually ahead of the necessary legal adjustments.

However, these adjustments may not be sufficient in this situation. It is similar with the issue of cybercrime, which cannot be completely eliminated even by the most perfect legal regulations, because the problem is of a technological and not systemic nature. Therefore, the problem of maintaining the privacy of personal data on websites can be realistically solved basically primarily in terms of refining the technological protection of these data against copying, reading by programs, machines, worms that walk in the background on websites and all contained data is read and copied on these pages. This type of security is improved in financial institutions, including banks developing electronic online and mobile banking, because in these institutions it is currently a key business and image issue.

I conduct research in this area, mainly in the field of applications of Business Intelligence analytics conducted in Big Data database systems as well as in the field of secure data transfer on the Internet and cybersecurity in electronic internet banking. The conclusions of the research I published in scientific publications that are available on the Research Gate portal. I invite you to cooperation.

In recent years, one of the key determinants of the development of online mobile banking is the development of internet technologies, ICT information, security technologies for data transfer on the Internet and advanced data processing Industry 4.0. Online mobile banking is growing dynamically because developmental factors still outweigh the factors limiting this development.

The main development factors are the reduction of operating costs for banks and facilitation of remote access to banking services, including mobile payments for customers. Currently, the only developmental barrier may be increased activity of cybercriminals stealing data from online banking clients, hacking clients' online bank accounts and robbing clients from financial resources. However, for now, banks are quickly identifying such cybercrime incidents and are gradually improving mobile banking security systems. Another factor limiting the development of online mobile banking may be the number of bank customers interested in this type of banking.

One of the rapidly growing fields of implementation of ICT and Industry 4.0 information technologies into economic processes is online electronic banking and e-commerce. The key determinants of the globally developing e-commerce relate primarily to the implementation of ICT information technologies and advanced data processing technologies, i.e. industry 4.0 typical for the current technological revolution to computerized, automated transaction systems supporting online trading. In addition, the use of blockchain technology for transaction security systems and data transfer on the Internet. The use of ICT information technologies and advanced data processing technologies i.e. typical for the current technological revolution Industry 4.0 to online transaction systems supporting e-commerce already applies to almost all the functioning of online stores, from computerized sales support systems, logistics, accounting, reporting, risk management to Internet marketing activities and improving security systems for online transactions.

Another important determinant of e-commerce development is the development of online mobile banking available on mobile devices and new solutions related to the Internet of Things technology. Online banking is starting to dominate, whose development is determined by technological progress in the field of ICT and Industry 4.0 information technologies. Computerization is also increasingly affecting public sector institutions servicing tax systems and settlements of business entities. In addition, Business Intelligence analytical platforms supporting the management processes of companies operating also in the e-commerce sector have been developed for several years. The analyst of large information sets in Big Data databases is also developing. Big Data Analytics and Data Science analytical systems are also used by businesses operating also in the field of e-commerce.

In recent years, new internet marketing instruments have also been developed, mainly used on social media portals, and are also used by companies operating in the e-commerce sector. Internet technology and fintech companies are also emerging that offer information services on the Internet to support marketing management, including the planning of advertising campaigns for products sold via the Internet. To this end, sentiment analyzes are used to survey Internet users' opinions regarding dominant awareness, recognition, brand image, mission and the offer of specific companies. Sentiment analysis is carried out on large data sets downloaded from various websites, including millions of pages of social media portals collected in Big Data systems. The analytical data collected in this way are very helpful in the process of planning advertising campaigns carried out in new media, including social media portals. These campaigns advertise products and services sold via the Internet, available in online stores.

In view of the above, the development of e-commerce is determined mainly by technological progress in the field of ICT information technologies and advanced data processing technologies Industry 4.0 and new technologies used in securing financial transactions carried out via the Internet, including transactions related to e-commerce, e.g. technology blockchain. To sum up, ICT and Industry 4.0 are an important factor for economic development, primarily in emerging knowledge-based economies. In many countries there are investment programs financed also from public funds to activate the development of applications in the ICT and Industry 4.0 industries.

In this way, individual developing countries whose economies are largely based on such production factors as technology, information, innovation, entrepreneurship and knowledge build their comparative advantage. Building comparative advantage in knowledge-based economies takes into account investments in new technologies, including Internet, ICT and Industry 4.0 technologies. Investments implemented in modern internet technologies, ICT and Industry 4.0 increase the efficiency of production processes, logistics, management, marketing, risk control etc. in enterprises operating in various branches of the economy. I have described the above issues of various aspects of the application of IT systems, ICT information technologies, including Big Data, Business Intelligence in companies operating on the Internet in my scientific publications available on the Research Gate portal. I invite you to cooperation.

Artificial intelligence and Big Data database technologies can be used in the field of improving cyber security techniques. You can consider building intelligent anti-virus programs that, acting on computers and mobile devices such as smartphones, will create some kind of anti-worms, anti-viruses, anti-key-loggers, anti-malicious programs, anti-virus applications, etc. in situations when computer viruses and other forms of cybercriminal techniques, malware attack a specific IT system connected to the Internet. According to this concept, it would be necessary to implement artificial intelligence in the field of cyber security. If such solutions arise, there is also a risk that cybercriminals will also start using artificial intelligence to improve the technique of cybercrime attacks. In this way, the rivalry between cybercriminals and IT specialists employed in companies and institutions to ensure and improve cyber security systems, which has been ongoing for several decades, will be continued and will enter the next level of technological competition.

In recent years, Industry 4.0 technologies have also been used to improve risk management processes. In addition, the structure of expenditure incurred on improving risk management processes in financial institutions has changed in recent years. While in the 1990s, the dominant risk categories that were subject to permanent improvement, including through the implementation of ICT information technologies for analytics and risk modeling, have been the key risk categories in recent years for which particularly high expenditure is allocated to improving management processes these risk categories are primarily risks related to the development of cyber crime, the risk of data transfer on the Internet, risks related to online and mobile electronic banking.

In addition, in recent years, the improvement of risk management methods and systems has been carried out through the implementation of Industry 4.0 advanced data processing technology. For now, high levels of profitability of banking activities related to the development of electronic online banking allow to allocate high expenditures to improve the management of risk categories related to the development of cyber crime, the risk of data transfer on the Internet, risks associated with online and mobile electronic banking. However, this may not always be the case. Competition for classic online banking is growing through the successive increase in the share of cryptocurrencies in transactions carried out electronically. Fintechs are also developing. Therefore, the current development trends of banking in the next decades may change significantly and then there may also be changes in the key barriers to risk management improvement processes.

Technological progress is usually ahead of the necessary legal adjustments. However, these adjustments may not be sufficient in this situation. It is similar with the issue of cybercrime, which cannot be completely eliminated even by the most perfect legal regulations, because the problem is of a technological and not systemic nature. Therefore, the problem of maintaining the privacy of personal data on websites can be realistically solved basically primarily in terms of refining the technological protection of these data against copying, reading by programs, machines, worms that walk in the background on websites and all contained data is read and copied on these pages. This type of security is improved in financial institutions, including banks developing electronic online and mobile banking, because in these institutions it is currently a key business and image issue. I conduct research in this area, mainly in the field of applications of Business Intelligence analytics conducted in Big Data database systems as well as in the field of secure data transfer on the Internet and cybersecurity in electronic internet banking.

The importance of both Data Science and cybersecurity will grow in the coming years, as technologies of advanced computerized information processing and data teletransmission on the Internet are developing, and these issues are also related to the security of processing, collecting data in the cloud, data transmission on the Internet. Currently, the importance of information technologies etc. related to the technological revolution known as Industry 4.0 is growing. This revolution is determined by the development of the following advanced information processing technologies: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced technologies of Data Mining.

However, on the other hand, in recent years, the scale of cybercrime attacks on IT systems of various institutions, including government institutions, on databases of social media portals, on ICT systems of banks, on electronic banking systems has been growing. Cybercriminals are increasingly attacking mobile internet banking systems made available to Internet users and bank customers through mobile devices, mainly via smartphones.

Research shows that the scale of cybercrime attacks on IT systems of banks, institutions, etc. is increasing with the use of social engineering combined with perfidiously created malicious software such as ransomware, i.e. encrypting access to data on disks or redirecting users to fake websites of banks and institutions on the Internet to phishing personal data, access passwords to electronic banking accounts and, as a result, to steal money. The development of Business Intelligence business intelligence, Blockchain technology, data analysis in Big Data database systems, artificial intelligence to track movements and attacks made by cybercriminals, for predictive analyzes, etc. can be helpful in the process of improving IT systems risk management. Therefore, the skilful and efficient use of data science technology can be helpful in combating cybercrime, but it all depends on how these technologies will be used and, as a consequence, who will win in the following years in this IT, information "arms race".

Therefore, the key issue for Internet users is the use of cyber security principles. To protect information systems against hacker activity, you need to develop software that blocks hacker interference in information systems. IT system security technologies should be developed, including IT system risk management processes and online data transfer. As part of IT system risk management and data transfer on the Internet, it is necessary to improve the instruments for protecting information stored in databases and data transfer via the Internet. It is necessary to build security systems based on software resistant to attacks of cybercriminals who use malicious software, e.g. sent by e-mail. It is also important to test information systems by conducting simulated hacker attacks. In addition, it is also important to conduct permanent training for employees employed in the organization to warn against emerging new types of computer viruses and new hacking techniques.

Do you agree with me on the above matter?

In view of the above, I am asking you the following questions:

- Why have hackers and cybercriminals been distributing computer viruses via malicious malware recently?

- Why is the level of security in using mailboxes not high? How to increase the level of security?

- What are the currently dominating techniques for securing data transferred on the Internet and stored in cloud database systems?

- What are the key determinants of the security of private data transfer on the Internet?

- Is there a correlation between the issue of private and personal data security and the development of Big Data Analytics conducted on copied data from websites and social media portals?

- What instruments of ICT, Internet and Industry 4.0 information technology are currently improving the issue of security of personal and private data transferred on the Internet?

- Will artificial intelligence be implemented in the field of cybercrime and cybersecurity?

- Is the synergy of the development of computerized information technologies, Data Science analytics and the process of managing IT systems security growing?

- Does digitizing and making knowledge resources available on the Internet create new categories of information security risk?

- What kind of security tools for online data transfer are currently being developed as part of improving electronic online banking systems?

- Will online mobile banking dominate electronic banking in the future?

- Will cybercrime in the following years relate to hacker attacks aimed at devices of the Internet of Things technology?

- Will cyber crime in the future mainly concern Internet of Things technology?

- Will the improvement of the risk management process of data transfer on the Internet in the future apply to mobile devices and the Internet of Things technology?

- How to protect IT systems against hackers who try to hack via the Internet into the internal IT systems of a specific organization, company or public institution to steal important information?

- What are the current trends in scientific research in the field of cybercrime and cybersecurity?

- Are phising and ransomware viruses still one of the major cybercrime threats?

- To what extent will the introduction of next-generation mobile technology, i.e. 5G technology, affect cyber security issues?

- How will cyber security change after the spread of 5G technology?

I conduct research in this area. The conclusions of the research I published in scientific publications that are available on the Research Gate portal.

I invite you to discussion and scientific cooperation.

Thank you very much.

Best wishes.

Dariusz Prokopowicz

Dear Ajitesh Baloria,

List of few topics for dissertation in cyber security.

Also refer following links to find more related topics.

I hope the information will help you.

With Best Wishes,

Samir G Pandya

Dear Ajitesh Baloria

According to me, following topics needs attention as it is the demand of the time. Every one is using networked/internet based applications, hence research related to following areas will help everyone:

• Application layer security
• Simplified and powerful user authentication mechanisms
• Low cost Multi-factor authentication
• Low resource constraints - data integrity solutions

With best wishes,

Dissertation Topics:

Cyber Risk

security analytics

Threat intelligence

mobile security.

Cloud security

Securing the Internet of Things (IoT) systems

Targeted ransomware attack in industrial internet of things ..this may include detection, prevention... etc.

you can find starting point in these papers.

Article Targeted Ransomware: A New Cyber Threat to Edge System of Br...

Conference Paper Industrial Internet of Things Based Ransomware Detection usi...

Malware Analysis and detection using TCP packets.

-How Internet Of Things (IOT) has led to increased cyber criminality

-Cyber war fare in the case of Russia and Ukraine as escalated by the hacker group "Anonymus"