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Erol Gelenbe and Mert Nakip, IITIS-PAN

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)…
Erol Gelenbe
July 20, 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

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…
Erol Gelenbe
August 10, 2022
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…
Erol Gelenbe
October 29, 2021
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…
Erol Gelenbe
August 23, 2021
Publications

Nakıip M, Gelenbe E. 2021. Randomization of Data Generation Times Improves Performance of Predictive IoT Networks. 2021 IEEE World Forum on Internet of Things (WF-IoT).

Conference: 2021 IEEE World Forum on Internet of Things (WF-IoT) Authors: Nakıip M, Gelenbe E. Abstract: Input traffic from Internet of Things (IoT) devices is often both periodic and requires to be received by a given deadline. This can create congestion at instants of time when traffic flowing from multiple…
Erol Gelenbe
April 20, 2021