CS Other Presentations

Department of Computer Science - University of Cyprus

Besides Colloquiums, the Department of Computer Science at the University of Cyprus also holds Other Presentations (Research Seminars, PhD Defenses, Short Term Courses, Demonstrations, etc.). These presentations are given by scientists who aim to present preliminary results of their research work and/or other technical material. Other Presentations serve as a forum for educating Computer Science students and related announcements are disseminated to the Department of Computer Science (i.e., the csall list):

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Presentations Coordinator: Demetris Zeinalipour

PhD Defense: A Framework for the Detection, Localization, and Recovery of Jamming Attacks in the Internet of Things, Mr. Michalis Savva (University of Cyprus, Cyprus), Thursday, June 27, 2024, 11:00-12:00 EET.

The Department of Computer Science at the University of Cyprus cordially invites you to the PhD Defense entitled:

A Framework for the Detection, Localization, and Recovery of Jamming Attacks in the Internet of Things

Abstract:
Internet of Things (IoT) devices face unique security challenges due to their inherent limitations such as limited storage, low computational power, and energy-efficient wireless communication. Traditional security measures, designed for the legacy Internet, fail to adequately protect IoT devices and networks. Particularly vulnerable are Wireless Sensor Networks (WSN) and IoT networks that are susceptible to jamming—a type of attack that significantly threatens wireless networks due to their open nature and the simplicity of launching such attacks. Perpetrators can initiate jamming without specialized hardware or in-depth knowledge of the targeted system. Despite advances in wireless technologies, the ability to thwart jamming attacks in real-world scenarios remains limited, as evidenced by the vulnerability of cellular and Wi-Fi networks under current security protocols. This thesis addresses the critical need for practical anti-jamming strategies to enhance the security of wireless networks, particularly against intelligent jammers that employ advanced machine-learning algorithms to adopt more sophisticated attack methods, such as constant, deceptive, random, or reactive jamming. These intelligent attackers can adapt their strategies and even manipulate detection systems to evade identification. To counter these threats, this dissertation introduces a lightweight security framework that utilizes fuzzy logic algorithms to enhance detection, localization, and recovery mechanisms against jamming attacks in IoT networks. The framework employs network layer metrics to detect jamming at the node level, utilizes a modified multilateration technique to accurately locate jammers, and implements recovery strategies by blacklisting affected nodes and rerouting traffic within the RPL network. The effectiveness of this framework is validated through extensive simulations, demonstrating its capability to handle multiple jammers and adapt to evolving jamming strategies, thus significantly bolstering the resilience of IoT networks against these pervasive threats.

Short Bio:
Michalis Savva is a Ph.D. candidate at the Department of Computer Science of the University of Cyprus under the supervision of Associate Professor Vasos Vassiliou. He has been working in the IT sector for 16 years and holds a BSc in Business Planning and Information Systems, an MSc in Information and Communication Systems Security, and a second MSc in Wireless Communications with First Class Honours. Since May 2021, Michael Savva has held the position of Information Technology Officer at the Foundation for the Management of the European Lifelong Learning Programme. His research interests encompass intrusion detection systems, security in the Internet of Things, jammer detection and localization, as well as implementing fuzzy logic algorithms.

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