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基于区块链的物联网任务协作信任管理方案
引用本文:何昀航,戴辰. 基于区块链的物联网任务协作信任管理方案[J]. 计算机应用研究, 2023, 40(7)
作者姓名:何昀航  戴辰
作者单位:重庆邮电大学通信与信息工程学院,重庆400065
摘    要:在物联网智能设备任务协作场景中,为解决设备交互不受信以及存在恶意设备破坏协作的问题,提出一种基于区块链的信任管理方案。半分布式的架构克服了集中式和分布式架构的不足,任务协作过程中兼顾了双方的信任,并设计了审查机制确保任务评价的真实可靠。信任的衡量中使用狄利克雷分布模拟任务评价的多样性,构建信任为数个状态,并利用马尔可夫链评估信任状态和全局信任。仿真结果表明,提出的方案可以客观衡量设备的信任,同时在检测恶意设备、提高协作任务成功率及避免误判方面具有优势,因此可以有效确保任务交互的可信和协作环境的安全。

关 键 词:物联网  区块链  任务协作  信任管理  狄利克雷分布  马尔可夫链
收稿时间:2022-11-09
修稿时间:2023-06-16

Blockchain based task collaboration trust management scheme for Internet of Things
He Yunhang and Dai Chen. Blockchain based task collaboration trust management scheme for Internet of Things[J]. Application Research of Computers, 2023, 40(7)
Authors:He Yunhang and Dai Chen
Affiliation:School of communication and information engineering,Chongqing university of posts and telecommunications,
Abstract:In the smart devices task collaboration scenario of the Internet of Things, aiming at the problem that interactions between devices are untrusted and malicious devices disrupt collaborations, this paper proposed a trust management scheme based on blockchain. The semi-distributed architecture overcame the deficiencies of the centralized and distributed architectures, and the collaboration process considered the trust of both sides of the task. The scheme designed a review mechanism to ensure the authenticity and reliability of the task ratings. The trust measurement adopted Dirichlet distribution to simulate the diversity of task ratings, constructed the trust into several states, and evaluated trust states and global trust using the Markov chain. Simulation results show that the proposed scheme can objectively measure the device''s trust, and has advantages in detecting malicious devices, improving the success rate of collaborations, and avoiding misjudgment. Therefore, it can effectively ensure the credibility of task interactions and the security of the collaboration environment.
Keywords:Internet of Things   blockchain   task collaboration   trust management   Dirichlet distribution   Markov chain
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