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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. 26-29 July 2021. IEEExplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ. (In Press)

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Official URL: https://pes-gm.org/2021/

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. 26-29 July 2021
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 Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Internet of Things and Security (ISEC)
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CMS)
Related URLs:
Last Modified: 07 Oct 2021 09:44
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/33858

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