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Publications

Publications

Kuaban G, Gelenbe E, Czachórski T, Czekalski P. 2023. Modelling the Energy Performance of Off-Grid Sustainable Green Cellular Base Stations. MASCOTS 2023.

Conference: 31st International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2023) 16-18. October 2023 Stony Brook University, Stony Brook, NY, USA Authors: Kuaban G, Gelenbe E, Czachórski T, Czekalski P. Abstract: There is a growing awareness of the need to reduce carbon emissions from the…
Publications

Gelenbe E, 2023. Electricity Consumption by ICT: Facts, trends, and measurements. ACM Ubiquity, Volume: 2023, Issue: August

Journal: ACM Ubiquity, Volume: 2023, Issue: August Authors: Gelenbe E. Abstract: This paper considers key issues surrounding energy consumption by information and communication technologies (ICT), which has been steadily growing and is now attaining approximately 10% of the worldwide electricity consumption with a significant impact on greenhouse gas emissions. The…
Publications

Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A, 2023. Software vulnerability prediction: A systematic mapping study. Information and Software Technology, Vol. 164, 2023.

Journal: Information and Software Technology, Vol. 164, 2023. Authors: Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. Abstract: Context: Software security is considered a major aspect of software quality as the number of discovered vulnerabilities in software products is growing. Vulnerability prediction is a mechanism that helps engineers…
Publications

Kuaban G, Gelenbe E, Czachórski T, Czekalski P, Tangka J. 2023. Modelling of the Energy Depletion Process and Battery Depletion Attacks for Battery-Powered Internet of Things (IoT) Devices. sensors. 2023, 23(13)

Journal: Sensors 2023, 23(13) Authors: Kuaban G, Gelenbe E, Czachórski T, Czekalski P, Tangka J. Abstract: The Internet of Things (IoT) is transforming almost every industry, including agriculture, food processing, health care, oil and gas, environmental protection, transportation and logistics, manufacturing, home automation, and safety. Cost-effective, small-sized batteries are often used to…
Publications

Gelenbe E, Nakip M. 2023. IoT Network Cybersecurity Assessment with the Associated Random Neural Network. IEEE Access. 2023. Vol. 11. 2023

Journal: IEEE Access 2023. Vol. 11. 2023 Authors: Gelenbe E, Nakip M. Abstract: This paper proposes a method to assess the security of an n device, or IP address, IoT network by simultaneously identifying all the compromised IoT devices and IP addresses. It uses a specific Random Neural Network (RNN)…
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…
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…
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,…