Publications

Publications

Kalouptsoglou I, Siavvas M, Kehagias D, Chatzigeorgiou A, Ampatzoglou A. 2021. An Empirical Evaluation of the Usefulness of Word Embedding Techniques in Deep Learning-based Vulnerability Prediction. EuroCybersec2021.

Conference: EuroCybersec2021 Workshop Authors: Kalouptsoglou I, Siavvas M, Kehagias D, Chatzigeorgiou A, Ampatzoglou A. Abstract: Software security is a critical consideration for software development companies that want to provide their customers with high quality and dependable software. The automated detection of software vulnerabilities is a critical aspect in software security.…
Publications

Barakat R, Catal F, Hackel S, Rennoch A, Schneider M. 2021. Towards a certification scheme for IoT security evaluation. 6th GI/ACM I4.0 Standardization Workshop on Industrial Automation and Control Systems (6th IACS WS’21)

Conference: 6th GI/ACM I4.0 Standardization Workshop on Industrial Automation and Control Systems (6th IACS WS’21) Authors: Barakat R, Catal F, Hackel S, Rennoch A, Schneider M. Abstract: Many European and international standardization bodies and industrial organizations do provide more or less detailed specification catalogues addressing IoT product security requirements, test…
Publications

Siavvas M, Kalouptsoglou I, Tsoukalas D, Kehagias D. 2021. A self-adaptive approach for assessing the criticality of security-related static analysis alerts. The 21st International Conference on Computational Science and its Applications (ICCSA 2021).

Conference: The 21st International Conference on Computational Science and its Applications (ICCSA 2021) Authors: Siavvas M, Kalouptsoglou I, Tsoukalas D, Kehagias D. Abstract: Despite the acknowledged ability of automated static analysis to detect software vulnerabilities, its adoption in practice is limited, mainly due to the large number of false alerts…
Publications

Nakip M, Gelenbe E. 2021. MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network. 2021 IEEE Global Communications Conference 2021.

Conference: 2021 IEEE Global Communications Conference Authors: Nakip M, Gelenbe E. Abstract: Internet connected IoT devices have often been particularly vulnerable to Botnet attacks of the Mirai family in recent years. Thus we develop an attack detection scheme for Mirai Botnets, using the Auto-Associative Dense Random Neural Network that has…
Publications

Fröhlich P, Gelenbe E, Nowak M. 2021. Reinforcement Learning and Energy-Aware Routing. ACM SIGCOMM 2021 Workshop on Flexible Networks (FlexNets’21).

Conference: ACM SIGCOMM 2021 Workshop on Flexible Networks (FlexNets'21) Authors: Fröhlich P, Gelenbe E, Nowak M. Abstract: We present an approach that uses Reinforcement Learning (RL) with the Random Neural Network (RNN) acting as an adaptive critic, to route traffic in a SDN network, so as to minimize a composite…