Δημοσιεύσεις Σε Περιοδικά

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.

Δημοσιεύσεις Σε Συνέδρια

1. I. Kalouptsoglou, M. Siavvas, A. Ampatzoglou, D. Kehagias, A. Chatzigeorgiou, "An empirical comparison of Transformer-based models in Vulnerability Prediction.",The 23rd International Conference on Computational Science and Its Applications, May 2023.
2. 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.
3. 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)
4. 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
5. 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
6. 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