Year: 2024
Type: article
Abstract: Edge computing nodes close to the perception layer of the IoT system have security risks such as privacy data leakage and unauthorized access. In response to such security risks, a privacy data sharing model for the Internet of Things based on secure multi-party computation is proposed. By running a reliable third-party alliance chain service on the edge computing node, the private data calculation relationship between the sensing layer devices is registered in the alliance chain chain code service, and a Bloom filter that records the trust status of the sensing layer device is constructed in the chain code.. A publicly verifiable private data sharing model that combines on-chain identity auditing and off-chain secure multi-party computation is constructed to achieve secure sharing of private data between sensing layer devices. Experiments show that the proposed method has more advantages in terms of task overhead and security.
Authors: Li Ma, Binbin Duan, Bo Zhang, Yang Li, Yingxun Fu, Dongchao Ma
Institution: North China University of Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,590
Award: G4575716184
OpenAlex ID: W4402513006