{"title":"Secure Multi-party Confidential Protocol of Matrix Factorization","authors":"Haiyan Xiao, Xiaoyuan Yang","doi":"10.1109/INCoS.2013.89","DOIUrl":null,"url":null,"abstract":"The confidential computation of matrix is a very important issue in secure multi-party computation. But there is no literature proposed truly multi-party confidential computation protocol on matrix factorization. In this paper, we use data perturbation assumptions and oblivious transfer protocol to construct a multi-party confidential computation protocol on matrix factorization which has high efficiency.","PeriodicalId":353706,"journal":{"name":"2013 5th International Conference on Intelligent Networking and Collaborative Systems","volume":"277 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Intelligent Networking and Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCoS.2013.89","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The confidential computation of matrix is a very important issue in secure multi-party computation. But there is no literature proposed truly multi-party confidential computation protocol on matrix factorization. In this paper, we use data perturbation assumptions and oblivious transfer protocol to construct a multi-party confidential computation protocol on matrix factorization which has high efficiency.
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