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A cross-layer trust-based consensus protocol for peer-to-peer energy trading using fuzzy logic

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Title: A cross-layer trust-based consensus protocol for peer-to-peer energy trading using fuzzy logic
Authors: Chowdhury, MJM
Usman, M
Ferdous, MS
Chowdhury, N
Harun, AI
Jannat, US
Biswas, K
Item Type: Journal Article
Abstract: Peer-to-Peer (P2P) energy trading platforms are being actively designed, tested and operated by engineers, power distribution companies and prosumers. The assurance of the accountability of the conduct of different stakeholders through a robust trust management mechanism is imperative in such platforms. The usage of blockchain, as an underlying technology, can ensure numerous properties such as immutability, transparency and traceable execution of transactions, in addition to ensuring trust establishment among different entities of the system. Few blockchain-based decentralized energy trading platforms have been designed in the literature to build trust about the platform and among prosumers. However, none of these proposals have considered human-in-the-loop in the trust establishment process. Moreover, these solutions have considered trust only at a particular layer of blockchain, such as at the application or consensus layer. To bridge this gap, this paper presents a novel cross-layer trust-based consensus protocol that considers human-in-the-loop and employs fuzzy logic to address the issue of vagueness of trust values by offering human interpretable trust level. The experiment results demonstrate the efficiency and effectiveness of our proposed protocol in comparison to established consensus mechanisms. The analysis also shows the protocol is immune against selfish mining, 51% and Sybil attacks.
Issue Date: 8-Mar-2021
Date of Acceptance: 19-Feb-2021
URI: http://hdl.handle.net/10044/1/88270
DOI: 10.1109/jiot.2021.3063710
ISSN: 2327-4662
Publisher: Institute of Electrical and Electronics Engineers
Journal / Book Title: IEEE Internet of Things Journal
Copyright Statement: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: 0805 Distributed Computing
1005 Communications Technologies
Publication Status: Published online
Online Publication Date: 2021-03-08
Appears in Collections:Imperial College Business School