LBTM: A lightweight blockchain-based trust management system for social internet of things

被引:0
作者
Mohammad Amiri-Zarandi
Rozita A. Dara
Evan Fraser
机构
[1] University of Guelph,School of Computer Science
[2] University of Guelph,Department of Geography
来源
The Journal of Supercomputing | 2022年 / 78卷
关键词
Trust management; IoT; Social IoT; Blockchain; Smart contract; Privacy; Security;
D O I
暂无
中图分类号
学科分类号
摘要
In order for the Internet of things to facilitate information sharing, the technology needs trustworthy mechanisms to ensure safe communications and reliable interactions. Recently, the Social Internet of Things (Social IoT) is introduced as a novel approach that studies the social relationships among the IoT objects and considers them as a social network. In this paper, we leveraged social information from the network and proposed a lightweight blockchain-based trust management system (LBTM) for Social IoT. By leveraging blockchain technology, the proposed framework provides a decentralized solution that enables trust evaluation. We also provided an implementation of the presented framework using an Ethereum-based private blockchain. The experimental results show the proposed solution achieves high performance in the success rate metric for detecting untrustable nodes. These experiments also demonstrate the advantages of the proposed solution in comparison with other works in terms of rating accuracy and cost-efficiency.
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页码:8302 / 8320
页数:18
相关论文
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