High-Performance Privacy-Preserving Matrix Completion for Trajectory Recovery

Fuente: arXiv
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Main Authors: Guo, Jiahao, Xu, An-Bao
Format: Preprint
Published: 2024
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author Guo, Jiahao
Xu, An-Bao
author_facet Guo, Jiahao
Xu, An-Bao
contents 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 method of multipliers (ADMM). Then,the complemented matrix is decrypted and compared with the original matrix to calculate the error. This method has faster speed with higher accuracy. The results of numerical experiments reveal that the proposed method is faster than other algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2405_05789
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle High-Performance Privacy-Preserving Matrix Completion for Trajectory Recovery
Guo, Jiahao
Xu, An-Bao
Cryptography and Security
Numerical Analysis
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 method of multipliers (ADMM). Then,the complemented matrix is decrypted and compared with the original matrix to calculate the error. This method has faster speed with higher accuracy. The results of numerical experiments reveal that the proposed method is faster than other algorithms.
title High-Performance Privacy-Preserving Matrix Completion for Trajectory Recovery
topic Cryptography and Security
Numerical Analysis
url https://arxiv.org/abs/2405.05789