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Publications

Publications

Gelenbe E, Nakip M, Marek D, Czachorski T. 2021. Diffusion Analysis Improves Scalability of IoT Networks to Mitigate the Massive Access Problem. MASCOTS 2021.

Conference: MASCOTS 2021 Authors: Gelenbe E, Nakip M, Marek D, Czachorski T. Abstract: A significant challenge of IoT networks is to offer Quality of Service (QoS) and meet deadline requirements when packets from a massive number of IoT devices are forwarded to an IoT gateway. Many IoT devices tend to…
Publications

Gelenbe E, Nowak M, Fröhlich P, Fiolka J, Checinski J. 2021. Energy, QoS and Security Aware Edge Services. EuroCybersec2021.

Conference: EuroCybersec2021 Authors: Gelenbe E, Nowak M, Fröhlich P, Fiolka J, Checinski J. Abstract: With the development of communication technologies and the increasing bandwidth of optical fibres and transmission speeds in current 5G and future 6G wireless networks, there is a growing demand for solutions organising traffic in such networks,…
Publications

Gelenbe E, Nakip M, Marek D, Czachorski T. 2021. Mitigating the Massive Access Problem in the Internet of Things. EuroCybersec2021.

Conference: EuroCybersec2021 Authors: Gelenbe E, Nakip M, Marek D, Czachorski T. Abstract: The traffic from the large number of IoT devices connected to the IoT is a source of congestion known as the Massive Access Problem (MAP), that results in packet losses, delays and missed deadlines for realtime data. This…
Publications

Fietkau J, Mehak Zahra S, Hartung M. 2021. Secure authentication for everyone! Enabling 2nd-factor authentication under real-world constraints. EuroCybersec2021.

Conference: EuroCybersec2021 Authors: Fietkau J, Mehak Zahra S, Hartung M. Abstract: Millions of user accounts have been exposed by data breaches within the last years. The leaked credentials pose a huge threat to many because they can be used for credential stuffing and brute-force attacks across all online services. The…
Publications

Nakip M, Gelenbe E. 2021. Botnet Attack Detection with Incremental Online Learning. EuroCybersec2021.

Conference: EuroCybersec2021 Authors: Nakip M, Gelenbe E. Abstract: In recent years, IoT devices have often been the target of Mirai Botnet attacks. This paper develops an intrusion detection method based on Auto-Associated Dense Random Neural Network with incremental online learning, targeting the detection of Mirai Botnet attacks. The proposed method…
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…