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R-Chain: a universally composable relay resilience framework for smart grids

R-Chain: a universally composable relay resilience framework for smart grids

Sani, Abubakar Sadiq, Yuan, Dong, Meng, Ke and Dong, Zhao Yang (2021) R-Chain: a universally composable relay resilience framework for smart grids. In: 2021 IEEE Power & Energy Society General Meeting (PESGM). IEEE, Piscataway, USA. ISBN 978-1665446303 ISSN 1944-9925 (Print), 1944-9933 (Online) (doi:https://doi.org/10.1109/PESGM46819.2021.9638015)

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Abstract

Smart grids can be exposed to relay attacks (or wormhole attacks) resulting from weaknesses in cryptographic operations such as authentication and key derivation associated with process automation protocols. Relay attacks refer to attacks in which authentication is evaded without needing to attack the smart grid itself. By using a universal composability model that provides a strong security notion for designing cryptographic operations, we formulate the necessary relay resilience settings for strengthening authentication and key derivation and enhancing relay security in process automation protocols in this paper. We introduce R-Chain, a universally composable relay resilience framework that prevents bypass of cryptographic operations. Our framework provides an ideal chaining functionality that integrates all cryptographic operations such that all outputs from a preceding operation are used as input to the subsequent operation to support relay resilience. We apply R-Chain to provide relay resilience in a practical smart grid process automation protocol, namely WirelessHART.

Item Type: Conference Proceedings
Title of Proceedings: 2021 IEEE Power & Energy Society General Meeting (PESGM)
Uncontrolled Keywords: relay resilience, universal composability, authentication, key derivation, smart grids
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Internet of Things and Security Research Centre (ISEC)
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified: 23 May 2022 10:17
URI: http://gala.gre.ac.uk/id/eprint/33858

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