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Mr. Ilias Kalouptsoglou -
Publications

Journals

  1. I. Kalouptsoglou, M. Siavvas, A. Ampatzoglou, D. Kehagias, A. Chatzigeorgiou, "Software vulnerability prediction: A systematic mapping study.", Information and Software Technology, vol. 164, 2023. 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, vol. 13, no. 12, 2023. 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, vol. 24, no. 5, 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, vol. 11, no. 18, 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 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 the 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2024), 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), 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 Proceedings of 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.", in Proceedings of the 21st International Conference on Distributed Computing and Artificial Intelligence (DCAI'2024), Salamanka, Spain, 2024.
  6. 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 Proceedings of the 18th International Conference on the Design of Reliable Communication Networks (DRCN), March 28, 2022, pp. 1-6.
  7. 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.", in Proceedings of the EuroCyberSec2021, Springer, LNCS, 2021.
  8. E. Gelenbe, M. Nakip, I. Kalouptsoglou, M. Siavvas, D. Kehagias, "System Vulnerability Prediction using the Adversarial Random Neural Network.", in Proceedings of the EuroCybersec 2021, Nice, France, 2021, Springer Cham., LNCS, 2021.
  9. M. Siavvas, I. Kalouptsoglou, D. Tsoukalas, D. Kehagias, "A self-adaptive approach for assessing thecriticality of security-related static analysis alerts.", in Proceedings of the 21st International Conference on Computational Science and Applications (ICCSA 2021), 2021.
  10. I. Kalouptsoglou, M. Siavvas, D. Tsoukalas, D. Kehagias, "Cross-Project Vulnerability Prediction Based on Software Metrics and Deep Learning.", in Proceedings of the International Conference on Computational Science and Its Applications, Springer, Cham, 2020, pp. 877-893.