Publications

Publications

Szántó M, Hidalgo C, González L, Pérez J, Asua E, Vajta L. 2023. Trajectory Planning of Automated Vehicles Using Real-Time Map Updates. IEEE Access. 2023. Vol. 11. 2023

Journal: IEEE Access 2023. Vol. 11. 2023 Authors: Szántó M, Hidalgo C, González L, Pérez J, Asua E, and Vajta L. Abstract: The development of connected and automated vehicles (CAVs) presents a great opportunity to extend the current range of vehicle vision, by gathering information outside of its sensors. Two…
Mátyás Szántó
July 7, 2023
Publications

Nasereddin M, Nakip M, Gelenbe E. 2023. Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed. IEEE LCN 2023.

Conference: The 48th IEEE Conference on Local Computer Networks 2023 (IEEE  LCN 2023), 2-5 October 2023, Daytona Beach, Florida, USA. Authors: Nasereddin M, Nakip M, Gelenbe E. Abstract: The IoT is vulnerable to network attacks, and Intrusion Detection Systems (IDS) can provide high attack detection accuracy and are easily installed…
Mohammed Nasereddin
June 29, 2023
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…
Erol Gelenbe
May 26, 2023
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…
Erol Gelenbe
December 13, 2022
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,…
Dimitrios Tsoukalas
September 9, 2022