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Gelenbe E, Gül B, Nakip M. 2024. DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with Online Learning for Health Internet of Things and Internet of Vehicles. Internet of Things Journal . 2024. Publications

Gelenbe E, Gül B, Nakip M. 2024. DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with Online Learning for Health Internet of Things and Internet of Vehicles. Internet of Things Journal . 2024.

Journal: Internet of Things Journal. 2024. Authors: Gelenbe E, Gül B, Nakip M, Abstract: Networked health systems are often the victims of cyberattacks with serious consequences for patients and healthcare costs, with the Internet of Things (IoT) being an additional prime target. In future systems we can imagine that the…
Automated Penetration Testing of IoT systems using formal and AI-based techniques Insights

Automated Penetration Testing of IoT systems using formal and AI-based techniques

By Gábor Pék, CrySyS Lab, Budapest University of Technology and Economics  Automated penetration testing is one of the recent challenges of cyber-security with the visionary goal of discovering and exploiting system- and software vulnerabilities with no human involvement at all. Over the last couple of years various automated and semi-automated…
Opening Keynote by Professor Erol Gelenbe at the IEEE Cybermatics 2024 Conference News

Opening Keynote by Professor Erol Gelenbe at the IEEE Cybermatics 2024 Conference

Professor Erol Gelenbe, Institute of Theoretical and Applied Informatics, Polish Academy of Sciences (IITIS-PAN) presented the Opening Keynote at the IEEE Cybermatics Conference on "Neural and Exact Optimization with G-Networks and Random Neural Networks", at the Campus of the Danish Technical University in Copenhagen, Denmark, on 18th August 2024. In his…
Gelenbe E, Nakip M, Siavvas M. 2024. System-Wide Vulnerability of Multi-Component Software. Computers and Industrial Engineering. 2024. Publications

Gelenbe E, Nakip M, Siavvas M. 2024. System-Wide Vulnerability of Multi-Component Software. Computers and Industrial Engineering. 2024.

Journal: Computers and Industrial Engineering. 2024. Authors: Gelenbe E, Nakip M, Siavvas M. Abstract: In software systems comprised of many interconnected components, the vulnerability of each component will affect the vulnerability of other components and of the system as a whole. Existing techniques allow the quantification of the vulnerability of…