Privacy-preserving method of edge computing based on secret sharing and homomorphic encryption
Haodong Xie, Yuanbo Guo, Haoran Wang, Qingli Chen, Fang Chen, Ning Zhu · International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022) · 2022
Edge computing has been applied to all aspects of our life, and has a good development prospect. But the problems of “isolated data island” and “data privacy security” hinder the development and application of technology. Therefore, based on federated learning, this paper proposes a privacy-preserving method based on secret sharing and homomorphic encryption, which can enhance the privacy protection of edge computing without affecting the accuracy of the model. At the same time, theoretical analysis proves that this method can resist collusion attacks and reasoning attacks.