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A Novel GLS Consensus Algorithm for Alliance Chain in Edge Computing Environment

Huijuan Wang1, *, Jiang Yong1, Qingwei Liu2, Alan Yang3

1 Information Security Department of the First Research Institute of the Ministry of Public Security of China, Beijing, 100084, China.
2 College of NBC Defense, Beijing, 100084, China.
3 Amphenol Assemble Tech, Houston, TX 77070, USA.

* Corresponding Author: Huijuan Wang. Email: email.

Computers, Materials & Continua 2020, 65(1), 963-976. https://doi.org/10.32604/cmc.2020.09803

Abstract

Edge computing devices are widely deployed. An important issue that arises is in that these devices suffer from security attacks. To deal with it, we turn to the blockchain technologies. The note in the alliance chain need rules to limit write permissions. Alliance chain can provide security management functions, using these functions to meet the management between the members, certification, authorization, monitoring and auditing. This article mainly analyzes some requirements realization which applies to the alliance chain, and introduces a new consensus algorithm, generalized Legendre sequence (GLS) consensus algorithm, for alliance chain. GLS algorithms inherit the recognition and verification efficiency of binary sequence ciphers in computer communication and can solve a large number of nodes verification of key distribution issues. In the alliance chain, GLS consensus algorithm can complete node address hiding, automatic task sorting, task automatic grouping, task node scope confirmation, task address binding and stamp timestamp. Moreover, the GLS consensus algorithm increases the difficulty of network malicious attack.

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Cite This Article

APA Style
Wang, H., Yong, J., Liu, Q., Yang, A. (2020). A novel GLS consensus algorithm for alliance chain in edge computing environment. Computers, Materials & Continua, 65(1), 963-976. https://doi.org/10.32604/cmc.2020.09803
Vancouver Style
Wang H, Yong J, Liu Q, Yang A. A novel GLS consensus algorithm for alliance chain in edge computing environment. Comput Mater Contin. 2020;65(1):963-976 https://doi.org/10.32604/cmc.2020.09803
IEEE Style
H. Wang, J. Yong, Q. Liu, and A. Yang "A Novel GLS Consensus Algorithm for Alliance Chain in Edge Computing Environment," Comput. Mater. Contin., vol. 65, no. 1, pp. 963-976. 2020. https://doi.org/10.32604/cmc.2020.09803



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