A Blockchain-Based Edge Computing Group Signature Authentication Model for Underwater Clustered Networks

Underwater Wireless Sensor Networks (UWSNs) are pivotal for advancing maritime capabilities. These networks predominantly utilize acoustic communication, characterized by an open and shared acoustic channel and energy-limited underwater nodes, which underscores the critical importance of node authen...

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Main Authors: Yanxia Chen, Zhe Li, Rongxin Zhu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/13/1/27
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author Yanxia Chen
Zhe Li
Rongxin Zhu
author_facet Yanxia Chen
Zhe Li
Rongxin Zhu
author_sort Yanxia Chen
collection DOAJ
description Underwater Wireless Sensor Networks (UWSNs) are pivotal for advancing maritime capabilities. These networks predominantly utilize acoustic communication, characterized by an open and shared acoustic channel and energy-limited underwater nodes, which underscores the critical importance of node authentication and management. Blockchain technology, recognized for its security, confidentiality, and traceability, is particularly suitable for scenarios requiring secure data exchange. This paper proposes a blockchain-based collaborative node authentication model tailored for clustered networks in UWSNs to tackle the challenges posed by the open nature of acoustic channels and the constrained energy resources of underwater nodes. Autonomous Underwater Vehicles (AUVs) are deployed as blockchain nodes to aid cluster heads in identity verification, while all underwater acoustic nodes are integrated as lightweight blockchain nodes, thus ensuring uniform management and authentication. Furthermore, this study enhances existing clustering algorithms to prolong the operational lifespan of the network and introduces a group signature and authentication mechanism tailored to the unique conditions of underwater blockchain edge computing. This mechanism includes a robust two-round block verification scheme designed to secure the blockchain against potential consensus algorithm attacks. Comprehensive simulations are presented, validating the effectiveness of the proposed group signature solution in enhancing the security and sustainability of underwater clustered networks.
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issn 2077-1312
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publishDate 2024-12-01
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series Journal of Marine Science and Engineering
spelling doaj-art-3e4d071d11c74cf3817ef9722a30a5152025-01-24T13:36:35ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-12-011312710.3390/jmse13010027A Blockchain-Based Edge Computing Group Signature Authentication Model for Underwater Clustered NetworksYanxia Chen0Zhe Li1Rongxin Zhu2School of Cyberspace Security, Hainan University, Haikou 570228, ChinaSchool of Computer Science and Technology, Hainan University, Haikou 570228, ChinaSchool of Computer Science and Technology, Hainan University, Haikou 570228, ChinaUnderwater Wireless Sensor Networks (UWSNs) are pivotal for advancing maritime capabilities. These networks predominantly utilize acoustic communication, characterized by an open and shared acoustic channel and energy-limited underwater nodes, which underscores the critical importance of node authentication and management. Blockchain technology, recognized for its security, confidentiality, and traceability, is particularly suitable for scenarios requiring secure data exchange. This paper proposes a blockchain-based collaborative node authentication model tailored for clustered networks in UWSNs to tackle the challenges posed by the open nature of acoustic channels and the constrained energy resources of underwater nodes. Autonomous Underwater Vehicles (AUVs) are deployed as blockchain nodes to aid cluster heads in identity verification, while all underwater acoustic nodes are integrated as lightweight blockchain nodes, thus ensuring uniform management and authentication. Furthermore, this study enhances existing clustering algorithms to prolong the operational lifespan of the network and introduces a group signature and authentication mechanism tailored to the unique conditions of underwater blockchain edge computing. This mechanism includes a robust two-round block verification scheme designed to secure the blockchain against potential consensus algorithm attacks. Comprehensive simulations are presented, validating the effectiveness of the proposed group signature solution in enhancing the security and sustainability of underwater clustered networks.https://www.mdpi.com/2077-1312/13/1/27underwater acoustic sensor networksblockchainclustering
spellingShingle Yanxia Chen
Zhe Li
Rongxin Zhu
A Blockchain-Based Edge Computing Group Signature Authentication Model for Underwater Clustered Networks
Journal of Marine Science and Engineering
underwater acoustic sensor networks
blockchain
clustering
title A Blockchain-Based Edge Computing Group Signature Authentication Model for Underwater Clustered Networks
title_full A Blockchain-Based Edge Computing Group Signature Authentication Model for Underwater Clustered Networks
title_fullStr A Blockchain-Based Edge Computing Group Signature Authentication Model for Underwater Clustered Networks
title_full_unstemmed A Blockchain-Based Edge Computing Group Signature Authentication Model for Underwater Clustered Networks
title_short A Blockchain-Based Edge Computing Group Signature Authentication Model for Underwater Clustered Networks
title_sort blockchain based edge computing group signature authentication model for underwater clustered networks
topic underwater acoustic sensor networks
blockchain
clustering
url https://www.mdpi.com/2077-1312/13/1/27
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AT zheli ablockchainbasededgecomputinggroupsignatureauthenticationmodelforunderwaterclusterednetworks
AT rongxinzhu ablockchainbasededgecomputinggroupsignatureauthenticationmodelforunderwaterclusterednetworks
AT yanxiachen blockchainbasededgecomputinggroupsignatureauthenticationmodelforunderwaterclusterednetworks
AT zheli blockchainbasededgecomputinggroupsignatureauthenticationmodelforunderwaterclusterednetworks
AT rongxinzhu blockchainbasededgecomputinggroupsignatureauthenticationmodelforunderwaterclusterednetworks