Journals

1. I. Kalouptsoglou, M. Siavvas, A. Ampatzoglou, D. Kehagias, A. Chatzigeorgiou, "Software vulnerability prediction: A systematic mapping study.", Information and Software Technology, Volume 164, 2023, 107303, ISSN 0950-5849. https://doi.org/10.1016/j.infsof.2023.107303
2. M. Siavvas, D. Tsoukalas, I. Kalouptsoglou, E. Manganopoulou, G. Manolis, D. Kehagias, D. Tzovaras, "Security Monitoring during Software Development: An Industrial Case Study.", Applied Sciences. 2023; 13(12):6872. https://doi.org/10.3390/app13126872
3. I. Kalouptsoglou, M. Siavvas, D. Kehagias, A. Chatzigeorgiou, A. Ampatzoglou, "Examining the Capacity of Text Mining and Software Metrics in Vulnerability Prediction", Entropy. 5;24(5):651, 2022.
4. I. Kalouptsoglou, D. Tsoukalas, M. Siavvas, D. Kehagias, A. Chatzigeorgiou, A. Ampatzoglou, "Time Series Forecasting of Software Vulnerabilities Using Statistical and Deep Learning Models", . Electronics. 11(18):2820, 2022.

Conference

1. M. Siavvas, G. Xanthopoulou, I. Kalouptsoglou, D. Kehagias, D. Tzovaras, "Digital Transformation of Security Standards: Requirements Extraction using Large Language Models.", In Proceedings of the 2024 11th International Conference on Dependable Systems and Their Applications (DSA). IEEE, 2024.
2. I. Kalouptsoglou, M. Siavvas, A. Ampatzoglou, D. Kehagias, A. Chatzigeorgiou, "Vulnerability prediction using pre-trained models: An empirical evaluation.", In Proceedings of 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2024), IEEE, 2024.
3. M. Siavvas, I. Kalouptsoglou, E. Gelenbe, D. Kehagias, D. Tzovaras, "Transforming the field of Vulnerability Prediction: Are Large Language Models the key?.", In Proceedings of the 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2024), IEEE, 2024.
4. I. Kalouptsoglou, M. Siavvas, A. Ampatzoglou, D. Kehagias, A. Chatzigeorgiou, D. Tzovaras, "Vulnerability Classification on Source Code using Text Mining and Deep Learning Techniques.", In the 24th International Conference of Software Quality, Reliability, and Security, IEEE, Cambridge, UK, 2024.
5. G. Xanthopoulou, M. Siavvas, I. Kalouptsoglou, D. Kehagias, D. Tzovaras, "Software Requirements Classification: From Bag-of-Words to Transformer.", 21st International Conference on Distributed Computing and Artificial Intelligence 2024 (DCAI’24).
6. G. Xanthopoulou, M. Siavvas, I. Kalouptsoglou, D. Kehagias, D. Tzovaras, "Software Requirements Classification: From Bag-of-Words to Transformers.", In the 21st International Conference on Distributed Computing and Artificial Intelligence (DCAI'2024), Salamanka, Spain, 2024.
7. M. Siavvas, E. Gelenbe, D. Tsoukalas, I. Kalouptsoglou, M. Mathioudaki, M. Nakip, D. Kehagias, D. Tzovaras, "The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview", . In 2022 18th International Conference on the Design of Reliable Communication Networks (DRCN) 2022 Mar 28 (pp. 1-6). IEEE.
8. M. Siavvas, I. Kalouptsoglou, D. Tsoukalas, D. Kehagias, "A self-adaptive approach for assessing thecriticality of security-related static analysis alerts", 21st International Conference on Computational Science and Applications (ICCSA 2021)
9. I. Kalouptsoglou, M. Siavvas, D. Kehagias, A. Chatzigeorgiou, A. Apostolos, "An Empirical Evaluation of the Usefulness of Word Embedding Techniques in Deep Learning-based Vulnerability Prediction", EuroCyberSec2021, Springer, LNCS, 2021
10. E. Gelenbe, M. Nakip, I. Kalouptsoglou, M. Siavvas, D. Kehagias, "System Vulnerability Prediction using the Adversarial Random Neural Network", EuroCybersec 2021, Nice, France, 2021, Springer Cham., LNCS
11. I. Kalouptsoglou, M. Siavvas, D. Tsoukalas, D. Kehagias, "Cross-Project Vulnerability Prediction Based on Software Metrics and Deep Learning", In International Conference on Computational Science and Its Applications (pp. 877-893). Springer, Cham, 2020