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


연구 분야: Cryptography



학회: Journal of Cloud Computing


초록

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.


Author Profile
Li Ma

School of Information North China University of Technology Beijing 100144 China

China
Author Profile
Binbin Duan

School of Information North China University of Technology Beijing 100144 China

China
Author Profile
Bo Zhang

School of Information North China University of Technology Beijing 100144 China

China

📄 논문 정보

발행 연도 2024년
인용수 4
출판 국가 China
사이트 Springer
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