LVTM: A lightweight blockchain-based V2G terminal trust management method

As an important part of the smart grid (SG), Vehicle-to-Grid (V2G) has significantly advanced the development of the grid. However, the open nature of V2G system itself and the deployment of charging piles (CPs) increase the difficulty of terminal control and leave the grid vulnerable to attacks. Th...

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Main Authors: Jiexiao Yu, Zhibiao Guo, Liying Yu, Ting Yang
Format: Article
Language:English
Published: China electric power research institute 2024-01-01
Series:CSEE Journal of Power and Energy Systems
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10609304/
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author Jiexiao Yu
Zhibiao Guo
Liying Yu
Ting Yang
author_facet Jiexiao Yu
Zhibiao Guo
Liying Yu
Ting Yang
author_sort Jiexiao Yu
collection DOAJ
description As an important part of the smart grid (SG), Vehicle-to-Grid (V2G) has significantly advanced the development of the grid. However, the open nature of V2G system itself and the deployment of charging piles (CPs) increase the difficulty of terminal control and leave the grid vulnerable to attacks. The existing security schemes of V2G mostly consider the threat of external attacks and conduct defense strategies such as identity authentication and key management, which cannot resist internal attacks initiated by selfish or captured terminals that have passed authentication. In this paper, we propose a lightweight block-chain-based trust management method for V2G terminals. Specifically, we provide a blockchain-based V2G trust management architecture. A V2G terminal adaptive trust calculation model based on information entropy is established, which provides a basis for accurate trust calculation. Considering that, although the on-chain data is tamper-proof, the existing blockchain technology lacks the means to verify the authenticity of the source data before it is uploaded to the chain, a new blockchain consensus mechanism is designed. Wherein five consensus guidelines ensure that only real trust parameters can be written on the chain. In this way, malicious terminals can be identified by consensus screening and trust calculation, thereby taking control measures. Moreover, to avoid redundant hash operations during the trust parameter upload process, Merkle Mountain Range (MMR) is introduced to optimize the block structure. The experimental results show that in comparison to existing methods, LVTM is very resistant to internal attacks, and has lower communication costs and computing overhead.
format Article
id doaj-art-b4bd557a164d49699e57516f149b7bd0
institution Kabale University
issn 2096-0042
language English
publishDate 2024-01-01
publisher China electric power research institute
record_format Article
series CSEE Journal of Power and Energy Systems
spelling doaj-art-b4bd557a164d49699e57516f149b7bd02024-11-12T00:02:13ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422024-01-01PP9911110.17775/CSEEJPES.2023.0178010609304LVTM: A lightweight blockchain-based V2G terminal trust management methodJiexiao Yu0Zhibiao Guo1Liying Yu2Ting Yang3School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, ChinaCommunication Research Center, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, ChinaAs an important part of the smart grid (SG), Vehicle-to-Grid (V2G) has significantly advanced the development of the grid. However, the open nature of V2G system itself and the deployment of charging piles (CPs) increase the difficulty of terminal control and leave the grid vulnerable to attacks. The existing security schemes of V2G mostly consider the threat of external attacks and conduct defense strategies such as identity authentication and key management, which cannot resist internal attacks initiated by selfish or captured terminals that have passed authentication. In this paper, we propose a lightweight block-chain-based trust management method for V2G terminals. Specifically, we provide a blockchain-based V2G trust management architecture. A V2G terminal adaptive trust calculation model based on information entropy is established, which provides a basis for accurate trust calculation. Considering that, although the on-chain data is tamper-proof, the existing blockchain technology lacks the means to verify the authenticity of the source data before it is uploaded to the chain, a new blockchain consensus mechanism is designed. Wherein five consensus guidelines ensure that only real trust parameters can be written on the chain. In this way, malicious terminals can be identified by consensus screening and trust calculation, thereby taking control measures. Moreover, to avoid redundant hash operations during the trust parameter upload process, Merkle Mountain Range (MMR) is introduced to optimize the block structure. The experimental results show that in comparison to existing methods, LVTM is very resistant to internal attacks, and has lower communication costs and computing overhead.https://ieeexplore.ieee.org/document/10609304/Vehicle-to-Gridtrust managementblockchainconsensus mechanism
spellingShingle Jiexiao Yu
Zhibiao Guo
Liying Yu
Ting Yang
LVTM: A lightweight blockchain-based V2G terminal trust management method
CSEE Journal of Power and Energy Systems
Vehicle-to-Grid
trust management
blockchain
consensus mechanism
title LVTM: A lightweight blockchain-based V2G terminal trust management method
title_full LVTM: A lightweight blockchain-based V2G terminal trust management method
title_fullStr LVTM: A lightweight blockchain-based V2G terminal trust management method
title_full_unstemmed LVTM: A lightweight blockchain-based V2G terminal trust management method
title_short LVTM: A lightweight blockchain-based V2G terminal trust management method
title_sort lvtm a lightweight blockchain based v2g terminal trust management method
topic Vehicle-to-Grid
trust management
blockchain
consensus mechanism
url https://ieeexplore.ieee.org/document/10609304/
work_keys_str_mv AT jiexiaoyu lvtmalightweightblockchainbasedv2gterminaltrustmanagementmethod
AT zhibiaoguo lvtmalightweightblockchainbasedv2gterminaltrustmanagementmethod
AT liyingyu lvtmalightweightblockchainbasedv2gterminaltrustmanagementmethod
AT tingyang lvtmalightweightblockchainbasedv2gterminaltrustmanagementmethod