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A trusted IoT data sharing method based on secure multi-party computation
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DOI：10.1186/s13677-024-00704-x.png)
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Abstract
En 中文
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.
Keywords:
IOT
Blockchain
Edge computing
Secure multi-party computing
Bloom filter
Journal
J
IF:
4.3
Papers:
738
Citations:
2.2K