A consensus strategy based on node behavior scoring for Internet of Things
Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China
Tagungsband: ICMLCA 2021
Seiten: 4Sprache: EnglischTyp: PDF
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Autoren:
Hao, Ying (School of Information Science and Engineering, Shenyang Ligong University, ShenYang, Liaoning Engineering Vocational College, Tieling, LiaoNing, China)
Huang, Yingchun; Li, Chengwang; Xing, Sen (School of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning, China)
Inhalt:
In recent years, it has become a new trend to integrate blockchain and the Internet of Things (IoT) in order to deal with the challenges of network security, privacy protection and identity recognition of the IoT. Data consistency algorithm, as the key support technology after the integration, has become a hot research issue. Due to the limited resources of IoT devices, the consensus algorithm of blockchain has the problems of low throughput and high latency To solve this problem, a consensus algorithm Behavior Scoring Consensus Algorithm (BSCA) based on node behavior score is proposed to improve Practical Byzantine Fault Tolerance (PBFT), and double verification is added in the BSCA consensus process. Experimental results show that BSCA has lower latency and higher throughput than PBFT, which can effectively reduce the computing burden of IoT devices and achieve higher consensus efficiency.