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https://doi.org/10.1109/jiot.2...
Article . 2022 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://dx.doi.org/10.26181/61...
Other literature type . 2021
Data sources: Datacite
ACU Research Bank
Article . 2022
Data sources: ACU Research Bank
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A Cross-Layer Trust-Based Consensus Protocol for Peer-to-Peer Energy Trading Using Fuzzy Logic

Authors: Mohammad Jabed M. Chowdhury; Muhammad Usman; Md Sadek Ferdous; Niaz Chowdhury; Anam Ibna Harun; Umme Sumaya Jannat; Kamanashis Biswas;

A Cross-Layer Trust-Based Consensus Protocol for Peer-to-Peer Energy Trading Using Fuzzy Logic

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.

Countries
Australia, Australia, Australia, United Kingdom, Australia
Keywords

blockchain, 006, trust, Energy Trading, 0805 Distributed Computing, energy trading, Trust, 004, Blockchain, Fuzzy Logic, Cross-Layer, 1005 Communications Technologies, fuzzy logic, cross-layer, Uncategorized

  • BIP!
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green