Hammad, M., Steinhorst, S., et al. (02/2024). PTPsec: Securing the Precision Time Protocol Against Time Delay Attacks Using Cyclic Path Asymmetry Analysis. IEEE International Conference on Computer Communications (IEEE INFOCOM 2024). Link: https://zenodo.org/records/14806692
Tsantekidis, M., Abdelghani, S., Hamad, M., Prevelakis, V. (03/2024). Creating a Security Enforcement Environment for a Vehicular Platform. 2023 IEEE Conference on Standards for Communications and Networking (IEEE CSCN). Link: https://ieeexplore.ieee.org/document/10453176
Hammadeh, Z. A. H., Hasan, M., & Hamad, M. (06/2024). Securing Real-Time Systems using Schedule Reconfiguration. 2024 IEEE 27th International Symposium on Real-Time Distributed Computing (ISORC). Link: https://zenodo.org/records/14806788
Hamad, M., Steinhorst, S., et al. (06/2024). Advanced IDPS Architecture for Connected and Autonomous Vehicles. 35th IEEE Intelligent Vehicles Symposium (IEEE IV). Link: https://zenodo.org/records/14806852
Islam, S., Papastergiou, S., Mouratidis, H., et al. (06/2024). Enhancing Malware Detection through Machine Learning using XAI with SHAP Framework. 20th AIAI (Artificial Intelligence Applications and Innovations). Link: https://zenodo.org/records/14832484
Islam, S., Papastergiou, S., Mouratidis, H., et al. (06/2024). Synthetic Data Generation and Impact Analysis of Machine Learning Models for Enhanced Credit Card Fraud Detection. 20th AIAI (Artificial Intelligence Applications and Innovations). Link: https://zenodo.org/records/14832599
Wüstrich, L., Gallenmüller, S., Pahl, M. O., et al. (07/2024). Shells Bells: Cyber-Physical Anomaly Detection in Data Centers. NOMS 2024 – IEEE Network Operations and Management Symposium. Link: https://zenodo.org/records/14807181
Hamad, M., Kühr, M., Mouratidis, H., Kalogeraki, E.-M., Gizelis, C., Papanikas, D. (05/2025). Multi-Partner Project: CyberSecDome – Framework for Secure, Collaborative, and Privacy-Aware Incident Handling for Digital Infrastructure. 2025 Design, Automation & Test in Europe Conference (DATE). Link: https://ieeexplore.ieee.org/document/10992768
Silvestri, S., Islam, S., Amelin, D., Weiler, G., Papastergiou, S., & Ciampi, M. (10/2023). Cyber threat assessment and management for securing healthcare ecosystems using natural language processing. International Journal of Information Security, 23, pages 31–50. Link: https://zenodo.org/records/13242578
Javeed, D., Shahid Saeed, M., Kumar, P., Jolfaei, A., Islam, S., & Islam, N. (02/2024). Federated Learning-based Personalized Recommendation Systems: An Overview on Security and Privacy Challenges. IEEE Transactions on Consumer Electronics. Link: https://zenodo.org/records/10598308
Katrakazas, P., & Papastergiou, S. (06/2024). A Stakeholder Needs Analysis in Cybersecurity: A Systemic Approach to Enhancing Digital Infrastructure Resilience. Link: https://zenodo.org/records/13254710
Islam, S., Javeed, D., Saeed, M. S., Kumar, P., Et al., (06/2024). Generative AI and Cognitive Computing-Driven Intrusion Detection System in Industrial CPS. Cognitive Computing (>V. 16, pages 2611–2625). Link: https://zenodo.org/records/13254989
Hamad, M., Finkenzeller, A., Kühr, M., Roberts, A., Maennel, O., Prevelakis, V., & Steinhorst, S. (07/2024). REACT: Autonomous intrusion response system for intelligent vehicles. Computers & Security (V. 145). Link:https://zenodo.org/records/13255072
Basheer, N., Islam, S., Alwaheidi, M. K. S., & Papastergiou, S. (07/2024). Adoption of deep-learning models for managing threats in API calls with transparency obligation practice for overall resilience. Sensors, 24(15), 4859. Link: https://zenodo.org/records/14806311
Randhir, K., Ahamed, A., Shareeful, I., & Et al., (09/2024). Digital twins-enabled zero-touch network: A smart contract and explainable AI integrated cybersecurity framework. Future Generation Computer Systems (Τ. 156, July 2024, pp. 191–205). Link: https://zenodo.org/records/11074335
Haurogné, J., Basheer, N., & Islam, S. (10/2024). Vulnerability detection using BERT-based LLM model with transparency obligation practice towards trustworthy AI. Link: https://zenodo.org/records/14806381