
Lecturer (tenure-track), Lab Director
Panagiotis Ilia is a Lecturer at the Department of Electrical Engineering, Computer Science and Engineering of the Cyprus University of Technology (CUT), and the Director of the Security, Privacy and Trust Research Laboratory (SPT@CUT).
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📢 We are looking for motivated and enthusiastic PhD students to join our lab!
If you’re interested in cybersecurity, please
contact us directly!
Nikos Mouzouras
Antreas Christodoulou
Efstathios Efstathiou
Christos Zavos
Konstantinos Konstantinou
Yuriy Konik
Kyriakos Evmenios Nomikos
Mamas Vartholomaiou
Zacharias Melauin
Giorgos Chiras
Paraskevas Vafeiadis
Antreas Nikolaou
Bogdan Nematjonov
Marios Mesaritis
Kyriacos Andreou
Theodoros Antoniou
| Name | Degree | Years | Thesis |
|---|---|---|---|
| Liu Zehua | MSc | 2025-2026 | A Multi-Vector Detection Framework for Chrome Extension Fingerprinting with Adaptive Matching |
| Christos Matthaiou | MSc | 2025-2026 | Experimental Analysis of the Cross-Origin Isolation Mechanisms in Modern Web Browsers |
| Charalampos Michailidis | MSc | 2025-2026 | CSP Compliance Through Time |
| Andria Philippidou | BSc | 2025-2026 | Comparative Analysis of Multimodal Large Language Models for Phishing Website Detection (in Greek) |
| Gabriel Simon | BSc | 2025-2026 | A Multi-Agent Framework for Automated Generation and Deployment of Full-Stack Web Applications |
| Simos Pilatsis | BSc | 2025-2026 | Design and Evaluation of an LLM-Augmented Autonomous Web Application Penetration Testing Agent |
| Andreas Agisilaou | MSc | 2024-2025 | A Novel Framework for Identifying JavaScript Obfuscation Using ML and AI Techniques |
| Stylianos Kyriakou | BSc | 2024-2025 | Exploring the fingerprintability of honeypot systems, based on observed discrepancies, and designing and proposing techniques for preventing detection |
| Leonidas Kotidis | BSc | 2024-2025 | Detecting, Analyzing and Understanding Zero-Transfer Attacks in the Ethereum Ecosystem |
| Konstantinos Ioannou | BSc | 2024-2025 | Detection of sandwich attacks on Ethereum through on-chain data analysis |