Try to write something at the intersection of cyber security and artificial intelligence. Ie how can AI enhance access control or data protection?

Moses IGWEH ONYEKA Ilekenri Try to check perspectives of our following review papers:

1. Benbouzid, M.; Berghout, T. Quo Vadis Machine Learning-Based Systems Condition Prognosis?—A Perspective. Electronics 2023, 12, 527, doi:10.3390/electronics12030527.

2. Berghout, T.; Benbouzid, M.; Bentrcia, T.; Lim, W.H.; Amirat, Y. Federated learning for condition monitoring of industrial processes : A review on fault diagnosis methods , challenges , and prospects. Electronics 2022, 10, 158, doi:https://doi.org/10.3390/electronics12010158.

3. Berghout, T.; Benbouzid, M.; Muyeen, S.M. Machine Learning for Cybersecurity in Smart Grids: A Comprehensive Review-based Study on Methods, Solutions, and Prospects. Int. J. Crit. Infrastruct. Prot. 2022, 38, 100547, doi:10.1016/j.ijcip.2022.100547.

Here are a few potential research topics and some relevant material you might find useful:

Lots of cyber security topics, you should be in the research group, even online, to save time.

You can try the following:

1. Access Control System based on Secret Sharing Scheme with Secure Web Database and SHA-3 Password Authentication

2. An RFID Based Access Control System operating with a Computer Program and a Database

3. Data-Based Access Control For Social Networks.

4. Implementation method of role-based access control in security management system

Or you can carryout your research on the four types of access control

1. Discretionary Access Control (DAC)

2. Mandatory Access Control (MAC)

3. Rule-Based Access Control

4. Role-Based Access Control (RBAC)

For your master's degree dissertation in cybersecurity, with a focus on Access Control Management and Data Protection, here are some compelling topic ideas: First, consider exploring Advanced Access Control Models in Cloud Computing. This area involves developing or assessing innovative access control mechanisms suited for cloud environments, addressing the unique security challenges of cloud-based data. Another intriguing topic is the application of Blockchain Technology in enhancing secure access control systems. Investigating how blockchain's inherent features can revolutionize access management offers a rich research avenue. Additionally, the integration of Machine Learning for Predictive Access Control presents an opportunity to design systems that adaptively modify access rights based on behavioral analysis and threat prediction. The specific challenges of IoT Security and Access Control also make for an important study, focusing on developing scalable and efficient solutions for the diverse IoT landscape. Lastly, analyzing the interplay between Data Protection Laws and Access Control Compliance could provide valuable insights into aligning organizational policies with legal requirements while safeguarding sensitive data. Each of these topics not only aligns with your interest but also contributes significantly to the evolving field of cybersecurity.