Applied and Computational Engineering

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Proceedings of the 3rd International Conference on Signal Processing and Machine Learning

Series Vol. 6 , 14 June 2023


Open Access | Article

Security analysis of blockchain-based service network

Xuzhuo Zhang * 1 , Pengju Lyu 2
1 University of Adelaide
2 City University of Macau

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 6, 1127-1134
Published 14 June 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Xuzhuo Zhang, Pengju Lyu. Security analysis of blockchain-based service network. ACE (2023) Vol. 6: 1127-1134. DOI: 10.54254/2755-2721/6/20230463.

Abstract

Recently, the extensive applications of blockchain technology in fields like financial exchanges, insurance, Logistics and healthcare has proven to be pragmatic and revolutionary. In order to enable the blockchain to have a more complete development space, Blockchain-based Service Network (BSN) was proposed. It integrates the developers, portal, cloud resources and blockchain framework to provide the basic environment for blockchain applications. Researches on its security have kept place with the advent of blockchain technology, while potential issues on BSN security remain largely unexplored. In this paper, we are devoted to diving deep into BSN security-related problems, specifically the security of BSN is analysed, and corresponding real attacks are summarised and investigated by checking the blockchain system adopted by BSN, which will provide a good reference for the future research. Finally, we reach the conclusion that although security issues still exist, there are fewer security issues compared with traditional blockchain.

Keywords

blockchain-based service network, BSN, security, blockchain.

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
ISBN (Print)
978-1-915371-59-1
ISBN (Online)
978-1-915371-60-7
Published Date
14 June 2023
Series
Applied and Computational Engineering
ISSN (Print)
2755-2721
ISSN (Online)
2755-273X
DOI
10.54254/2755-2721/6/20230463
Copyright
14 June 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated