Publications

Publications

Gelenbe E, Nakip M. 2023. Real-Time Cyberattack Detection with Offline and Online Learning. IEEE LANMAN 2023.

Conference: IEEE International Symposium on Local and Metropolitan Area Networks 2023 (IEEE  LANMAN 2023), 10-11 July 2023, London, UK. Authors: Gelenbe E, Nakip M. Abstract: This paper presents several novel algorithms for real-time cyberattack detection using the Auto-Associative Deep Random Neural Network. Some of these algorithms require offline learning, while…
Publications

Gelenbe E, Nakip M. 2022. Traffic Based Sequential Learning During Botnet Attacks to Identify Compromised IoT Devices. IEEE Access. 2022. Vol.10.

Journal: IEEE Access 2022. Vol. 10. Authors: Gelenbe E, Nakip M. Abstract: A novel online Compromised Device Identification System (CDIS) is presented to identify IoT devices and/or IP addresses that are compromised by a Botnet attack, within a set of sources and destinations that transmit packets. The method uses specific…
Publications

Kalouptsoglou I, Tsoukalas D, Siavvas M, Kehagias D, Chatzigeorgiou A, Ampatzoglou A. 2022. Time Series Forecasting of Software Vulnerabilities Using Statistical and Deep Learning Models. Electronics 2022, 11(18), 2820.

Journal: Electronics 2022, 11(18), 2820 Authors: Kalouptsoglou I, Tsoukalas D, Siavvas M, Kehagias D, Chatzigeorgiou A, Ampatzoglou A. Abstract: Software security is a critical aspect of modern software products. The vulnerabilities that reside in their source code could become a major weakness for enterprises that build or utilize these products,…
Publications

Czachórski T, Gelenbe E, Kuaban G. 2022. Modelling energy changes in the energy harvesting battery of an IoT device. IEEE MASCOTS 2022.

Conference: IEEE MASCOTS 2022 Authors: Czachórski T, Gelenbe E, Kuaban G. Abstract: The complexity of battery-powered autonomous devices such as Internet of Things (IoT) nodes or Unmanned Aerial Vehicles (UAV) and the necessity to  ensure an acceptable quality of service, reliability, and security, have  significantly increased their energy demand. In…
Publications

Gelenbe E, Nakip M. 2022. G-Networks that Detect Different Types of Cyberattacks. IEEE MASCOTS 2022.

Conference: IEEE MASCOTS 2022 Authors: Gelenbe E, Nakip M. Abstract: Malicious network attacks are a serious source of concern, and machine learning techniques have been widely used to build Attack Detectors. In particular, network based attacks have been widely studied since attacks try to compromise systems as network packets that…