• Information Security (confidentiality, encryption, cryptography)
• Network Security
• Detecting Attacks (network attacks, phishing, DDoS attacks, ID Spoofing)
• Intrusion Detection
• Monitoring networks (using protocol)
• Detect identity theft, data forging, stealing of data etc.
• AI and IoT security threats and solutions
• Fraud detection, cyber-crime detection
• Risk Management at online platforms and prediction
• Enhance security mechanism

Data protection agains cyber attackers

Encryption

SaaS: Software as a service. as a protection form.

Dear Alsharif Hasan Mohamad Abu Rbeian:

I suggest you :

"Application of Neural Networks in Cybersecurity," There are publications of various applications, which allows you to choose the one that is most related to your interests.

Kind regards

Professor Legon.

Hint: A quick Google scholar search will give you many examples

https://scholar.google.es/scholar?hl=es&as_sdt=0%2C5&q=%22+Neural+Networks%22++%22Cybersecurity%2C%22&btnG=

https://www.sciencedirect.com/science/article/abs/pii/S1574013720304172

Dear Alsharif Hasan Mohamad Abu Rbeian,

As you are most interested in conducting research on the implementation of machine learning in cyber security, so I propose the following research topic for your thesis: Analysis of the technological and economic determinants of the feasibility and validity of implementing machine learning technologies to improve cyber security systems and instruments. Within the framework of this topic, you can consider the possibilities of combining machine learning technology with other Industry 4.0 technologies to increase the possibility of improving cyber security systems and instruments. This topic may refer to improved cyber-security systems and instruments in public institutions, commercially operating non-financial business entities, or in banks and other financial institutions offering their services and financial products via the Internet, i.e., through online and mobile banking. An important element of the aforementioned issue of improving cyber-security systems and instruments through the use of machine learning and possibly other Industry 4.0 technologies is improving the performance of spam filters, whose task is to catch fake e-mails falling into e-mail inboxes containing hidden malware, ransomware viruses, viral Trojan horses, etc.

Best wishes,

Dariusz Prokopowicz

5 November MMXXII

The Bell Curve...

Cordially...

ASJ

Great topic and highly relevant to today's challenges. Short recently published article attached which may assist with your literature review.

Technical Report Cyber risk management: Avoiding cyber hell