Information Security Research Group

Topics for Master/Bachelor Thesis

We are looking for motivated students who would be interested in exploring and preparing their thesis on the areas of information system security.

Contact the potential supervisor to learn more.

Topics proposed by Ijeoma Faustina Ekeh (ijeomafa<at>ut<dot>ee)

• AI-Driven compliance monitoring using Z-inspection for secure and trustworthy AI systems
• An Ontology-Based Mapping and Evaluation of Security Risk Management for AI-powered Systems
• AI and Agents: The path to a secure agentic metaverse of Artificial Intelligence

Topics proposed by Vjatšeslav Antipenko (vjatseslav.antipenko<at>ut<dot>ee)

• Designing a Scalable Incident Response Framework for Automated Manufacturing Systems
• Automation System Vulnerability Detection: A Machine Learning Approach
• Analysis of Cybersecurity Threats in Multi-Vendor Automated Manufacturing Systems
• Evaluating the Impact of Cybersecurity Risks on Automated Systems: A Case Study Approach
• Risk Modeling and Threat Assessment in Automated Industrial Systems Using ISSRM and STRIDE

Topics proposed by Mari Seeba (mari.seeba<at>ut<dot>ee)

• Cybersecurity maturity model for startups
• Conceptual model for NIS2 directive

Topics proposed by Mariia Bakhtina (mariia.bakhtina<at>ut<dot>ee)

• GDPR compliance process assessment using the DPO tool
• Security and Privacy Methods in Intelligent Infrastructure Development: Case Study
• Comparison of SSI ecosystems
• Conceptual model for NIS2 directive

Topics proposed by Abasi-Amefon Obot Affia (amefon.affia<at>ut<dot>ee)

• Exploring the Efficacy of Machine Learning Algorithms in Real-Time Threat Identification Across Different Layers of IoT Architectures
• Dynamic Risk Assessment in IoT: An Approach Based on Quantitative Metrics and Temporal Risk Factors
• Investigating the Propagation of Vulnerabilities through Third-Party Libraries in IoT Applications
• Risk Estimation in IoT Middleware and Applications Layers in IoT Systems

Topics proposed by Mubashar Iqbal (mubashar.iqbal<at>ut<dot>ee)

• Blockchain-enabled digital twins as intrusion detection systems
• Model-driven engineering of digital twins
• Security of digital twins in healthcare
• Metaverse cybersecurity using blockchain
• Metaverse security and privacy
• Explainable Misinformation Detection Across the Internet of Vehicles using AI and Blockchain
• Explainable AI for Cybersecurity of the Industrial Internet of Things
• Cybersecurity for Wearable Medical Devices
• Cybersecurity Implications of 6G Networks: A Proactive Threat Mitigation Framework
• AI-powered Cyber Deception Systems for Active Defense Against Advanced Persistent Threats
• Explainable AI in Digital Twin Environments for Industrial Fault Detection
• Zero-knowledge Proofs for Secure Digital Twin Interactions in Industry 4.0
• AI-Driven Blockchain-based Federated Learning for Edge Devices

Topics proposed by Raimundas Matulevičius (rma<at>ut<dot>ee)

• Security Risk Management of the Closed Loop Insulin Pumps
• Security Modelling Languages for the Digital Twins
• Extension of a goal modelling language for GDPR-compliant system definition
• Conceptual model for NIS2 directive