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

被引：0

作者：

Ma, Li ^{[1
]}

Duan, Binbin ^{[1
]}

Zhang, Bo ^{[1
]}

Li, Yang ^{[1
]}

Fu, Yingxun ^{[1
]}

Ma, Dongchao ^{[1
]}

机构：

[1] North China Univ Technol, Sch Informat, Beijing 100144, Peoples R China

来源：

JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS | 2024年 / 13卷 / 01期

基金：

中国国家自然科学基金;

关键词：

IOT; Blockchain; Edge computing; Secure multi-party computing; Bloom filter;

D O I：

10.1186/s13677-024-00704-x

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：14

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