{"title":"On the Randomness Cost of Linear Secure Computation : (Invited Presentation)","authors":"Yanliang Zhou, Hua Sun, Shengli Fu","doi":"10.1109/CISS.2019.8692860","DOIUrl":null,"url":null,"abstract":"We consider the problem of secure computation, where K users, each holding an independent message, wish to compute a function on the messages without revealing any additional information. We show that to compute M generic linear independent combinations of the messages securely (i.e., for the linear secure computation problem), it suffices to use $\\min\\left(\\left\\lceil\\frac{K-M-1}{2}\\right\\rceil,~M\\right)$ randomness symbols per message symbol (i.e., the randomness cost is no larger than $\\min\\left(\\left\\lceil\\frac{K-M-1}{2}\\right\\rceil,~M\\right)$). The optimality of the achieved randomness cost remains open.","PeriodicalId":123696,"journal":{"name":"2019 53rd Annual Conference on Information Sciences and Systems (CISS)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 53rd Annual Conference on Information Sciences and Systems (CISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS.2019.8692860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
We consider the problem of secure computation, where K users, each holding an independent message, wish to compute a function on the messages without revealing any additional information. We show that to compute M generic linear independent combinations of the messages securely (i.e., for the linear secure computation problem), it suffices to use $\min\left(\left\lceil\frac{K-M-1}{2}\right\rceil,~M\right)$ randomness symbols per message symbol (i.e., the randomness cost is no larger than $\min\left(\left\lceil\frac{K-M-1}{2}\right\rceil,~M\right)$). The optimality of the achieved randomness cost remains open.