Quantisation Feasibility and Performance of RSS-based Secret Key Extraction in VANETs

Bottarelli, M., Epiphaniou, G., Kbaier Ben Ismsail, D., Karadimas, P. and Al-Khateeb, H. (2018) Quantisation Feasibility and Performance of RSS-based Secret Key Extraction in VANETs. In: Cyber Security 2018, Glasgow, UK, 11-12 Jun 2018, ISBN 9781538646830 (doi: 10.1109/CyberSecPODS.2018.8560676)

Abstract

Vehicular Ad Hoc Networks (VANETs) has emerged as a unique implementation of Mobile Ad Hoc Networks (MANETs). These networks promise to increase road safety and improve the driving experience by exploiting recent advances in wireless technologies for both intra-vehicle and inter-vehicle communications. Physical layer security is a promising alternative approach to secure communication in VANETs where physical and applications' constraints encourage the use of lightweight and fast cryptographic algorithms. Our work focuses on the quantisation stage of the secret generation process, by reviewing existing schemes in the public domain and associated performance metrics. Evaluations are done through simulation with the aid of a wireless channel model which includes three-dimensional scattering and scatterers' mobility. Preliminary findings show that RSS-based algorithms do not perform efficiently in the proposed vehicular stochastic wireless model. Hence they are not able to satisfy the typical low latency required in safety-related broadcasting messaging. We conclude that more research is desirable to design protocols capable of taking advantage from the nodes' high-mobility and the consequent variability of both coherence intervals and level crossing rates, to further improve secret bit extraction throughput.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Karadimas, Dr Petros
• Authors: Bottarelli, M., Epiphaniou, G., Kbaier Ben Ismsail, D., Karadimas, P., and Al-Khateeb, H.
• Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• ISBN: 9781538646830
• Copyright Holders: Copyright © 2018 IEEE
• First Published: First published in 2018 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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