High-Performance Privacy-Preserving Matrix Completion for Trajectory Recovery

arXiv:2405.05789v1 Announce Type: new
Abstract: Matrix completion has important applications in trajectory recovery and mobile social networks. However, sending raw data containing personal, sensitive information to cloud computing nodes may lead to privacy exposure issue.The privacy-preserving matrix completion is a useful approach to perform matrix completion while preserving privacy. In this paper, we propose a high-performance method for privacy-preserving matrix completion. First,we use a lightweight encryption scheme to encrypt the raw data and then perform matrix completion using alternating direction …

applications arxiv cloud cloud computing computing cs.cr cs.na data exposure high important information issue math.na matrix may mobile networks nodes performance personal privacy recovery sensitive sensitive information social social networks trajectory