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Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. 2025. LocVul: Line-Level Vulnerability Localization based on a Sequence-to-Sequence Approach. Information and Software Technology 2025 Publications

Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. 2025. LocVul: Line-Level Vulnerability Localization based on a Sequence-to-Sequence Approach. Information and Software Technology 2025

Journal: Information and Software Technology, Volume 19, January 2026 Authors: Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. Abstract: Context: The development of secure software systems depends on early and accurate vulnerability identification. Manual inspection is a time-consuming process that requires specialized knowledge. Therefore, as software complexity grows,…
Gelenbe E, Ren Q, Yan Z. 2025. A Probabilistic Dynamic Network Trust Model for IoT Systems with Lost Messages and Cyberattacks. MASCOTS 2025. Publications

Gelenbe E, Ren Q, Yan Z. 2025. A Probabilistic Dynamic Network Trust Model for IoT Systems with Lost Messages and Cyberattacks. MASCOTS 2025.

Conference: 33rd International Conference on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2025), 21-23. October 2025, Sorbonne University, Paris, FR Authors: Gelenbe E, Ren Q, Yan Z. Abstract: This paper introduces a new dynamic networked trust model, the Random Neural Network Trust Model (RNNTM), which incorporates the…
Gelenbe E, Nasereddin M. 2025. Data Driven Optimum Cyberattack Mitigation. IEEE DSAA 2025. Publications

Gelenbe E, Nasereddin M. 2025. Data Driven Optimum Cyberattack Mitigation. IEEE DSAA 2025.

Conference: 12th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2025) Authors: Gelenbe E., Nasereddin M. Abstract: Gateways to the Internet of Things (IoT) are typically servers that communicate with IoT devices, providing them with low-latency services, and connecting them to the internet and other backbone networks. Since…
Dée-Lukács A, Földvári A. 2025. Dependability Assurance with Symbolic Reasoning in LLM-enabled Systems. VERDI 2025. Publications

Dée-Lukács A, Földvári A. 2025. Dependability Assurance with Symbolic Reasoning in LLM-enabled Systems. VERDI 2025.

Conference: 3rd International Workshop on Verification & Validation of Dependable Cyber-Physical Systems (VERDI 2025), co-located with the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2025), 23. June 2025, Naples, Italy Authors: Dée-Lukács A, Földvári A. Abstract: The rapid advancement of large language models (LLMs) creates new opportunities…
Földvári A, Pataricza A. 2025. Model-driven, logic-supported exploratory dependability analysis. VERDI 2025. Publications

Földvári A, Pataricza A. 2025. Model-driven, logic-supported exploratory dependability analysis. VERDI 2025.

Conference: 3rd International Workshop on Verification & Validation of Dependable Cyber-Physical Systems (VERDI 2025), co-located with the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2025), 23. June 2025, Naples, Italy Authors: Földvári A, Pataricza A. Abstract: Analyzing empirical dependability data now exceeds domain experts’ capabilities without adequate…
Apostolidis G, Siavvas M, Kalouptsoglou I, Tsoukalas D, Chatzigeorgiou A, Ampatzoglou A, Kehagias D, Tzovaras D. On the capacity of Technical Debt to indicate security issues in open-source software products. 2025. QUATIC 2025. Publications

Apostolidis G, Siavvas M, Kalouptsoglou I, Tsoukalas D, Chatzigeorgiou A, Ampatzoglou A, Kehagias D, Tzovaras D. On the capacity of Technical Debt to indicate security issues in open-source software products. 2025. QUATIC 2025.

Conference: 18th International Conference on the Quality of Information and Communications Technology (QUATIC 2025) Authors: Apostolidis G, Siavvas M, Kalouptsoglou I, Tsoukalas D, Chatzigeorgiou A, Ampatzoglou A, Kehagias D, Tzovaras D. Abstract: Technical Debt (TD) arises from insufficient design and poor coding practices, affecting important software quality attributes. As systems…
Apostolidis G, Kalouptsoglou I, Siavvas M, Kehagias D, Tzovaras D. 2025. AI-Enhanced Static Analysis: Reducing False Alarms Using Large Language Models. LIFESEC 2025. Publications

Apostolidis G, Kalouptsoglou I, Siavvas M, Kehagias D, Tzovaras D. 2025. AI-Enhanced Static Analysis: Reducing False Alarms Using Large Language Models. LIFESEC 2025.

Conference: Workshop on Whole-Lifecycle Security for Smart Systems: Methods and Tools (LIFESEC2025) at the 11th International Conference on Smart Computing (SMARTCOMP2025) , 16. June 2025, Cork, Ireland Authors: Apostolidis G, Kalouptsoglou I, Siavvas M, Kehagias D, Tzovaras D. Abstract: In modern software systems, early and accurate vulnerability detection is crucial.…
Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. 2025. Transfer Learning for Software Vulnerability Prediction using Transformer Models. Journal of Systems and Software 2025. Publications

Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. 2025. Transfer Learning for Software Vulnerability Prediction using Transformer Models. Journal of Systems and Software 2025.

Journal: Journal of Systems and Software, Volume 227, September 2025, 112448 Authors: Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. Abstract: Recently software security community has exploited text mining and deep learning methods to identify vulnerabilities. To this end, the progress in the field of Natural Language Processing (NLP)…
Luo T, Wang J, Yan Z, Gelenbe E. 2025. Graph Neural Networks for Trust Evaluation: Criteria, State-of-the-Art, and Future Directions. IEEE Network Magazine 2025. Publications

Luo T, Wang J, Yan Z, Gelenbe E. 2025. Graph Neural Networks for Trust Evaluation: Criteria, State-of-the-Art, and Future Directions. IEEE Network Magazine 2025.

Journal: IEEE Network Magazine Authors: Luo T, Wang J, Yan Z, Gelenbe E. Abstract: The process of quantifying trust considers the factors that affect it, which can be applied to identify malicious behavior, reduce uncertainty, and facilitate decision-making. Traditional trust evaluation methods based on statistics and reasoning, rely heavily on domain…
Matheu S, Martinez-Gil J, Bicchierai I, Marchel J, Piliszek R, Skarmeta A. 2025. A Flexible Risk-Based Security Evaluation Methodology for Information Communication Technology System Certification. Applied Sciences 2025. Publications

Matheu S, Martinez-Gil J, Bicchierai I, Marchel J, Piliszek R, Skarmeta A. 2025. A Flexible Risk-Based Security Evaluation Methodology for Information Communication Technology System Certification. Applied Sciences 2025.

Journal: Applied Sciences Authors: Matheu S, Martinez-Gil J, Bicchierai I, Marchel J, Piliszek R, Skarmeta A. Abstract: As Information and Communication Technology (ICT) systems become increasingly complex, the need for adaptable and efficient security certification frameworks grows. This paper introduces a flexible security evaluation methodology designed to serve as the…