A trusted IoT data sharing method based on secure multi-party computation

Li Ma, Binbin Duan, Bo Zhang, Yang Li, Yingxun Fu, Dongchao Ma
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Abstract

Edge computing nodes close to the perception layer of IoT systems are susceptible to data leaks and unauthorized access. To address these security concerns, this paper proposes a trusted IoT data sharing method based on secure multi-party computation (SMC). By running a reliable third-party blockchain service at edge computing nodes, the data computation relationships between IoT devices in the perception layer are registered in blockchain smart contracts. This constructs a publicly verifiable IoT data sharing method combining on-chain audit verification and off-chain SMC. Furthermore, a Bloom filter is maintained at the on-chain smart contract layer to track the trust status of IoT devices in the perception layer, filtering out non-trustworthy device requests and enabling secure data sharing among trusted devices. Comparative analysis and performance tests demonstrate the proposed method’s high computational efficiency for IoT device nodes.
基于安全多方计算的可信物联网数据共享方法
靠近物联网系统感知层的边缘计算节点容易受到数据泄露和未经授权访问的影响。为了解决这些安全问题,本文提出了一种基于安全多方计算(SMC)的可信物联网数据共享方法。通过在边缘计算节点运行可靠的第三方区块链服务,将感知层中物联网设备之间的数据计算关系注册到区块链智能合约中。这就构建了一种可公开验证的物联网数据共享方法,将链上审计验证和链下 SMC 结合在一起。此外,在链上智能合约层维护一个布鲁姆过滤器,以跟踪感知层中物联网设备的信任状态,过滤掉不可信设备的请求,实现可信设备之间的安全数据共享。对比分析和性能测试表明,所提出的方法对物联网设备节点具有很高的计算效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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