{"title":"An efficient secure comparison protocol","authors":"Zhenmin Lin, J. Jaromczyk","doi":"10.1109/ISI.2012.6283425","DOIUrl":null,"url":null,"abstract":"We propose a new efficient cryptography-based secure comparison protocol for comparing secrets that are additively split between two parties. Our solution, based on homomorphic cryptosystems, needs 2N + 6 invocations of secure multiplications when the two secrets are numbers in the range [0; 2N); previous solutions required 12N + O(1) secure multiplications. The protocol provides substantial performance improvement in privacy preserving data mining protocols that use comparison as a primitive operation. In particular, we experimentally evaluate the performance of our secure comparison protocol in the implementation of a secure k-means clustering protocol applied to several real datasets.","PeriodicalId":199734,"journal":{"name":"2012 IEEE International Conference on Intelligence and Security Informatics","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Intelligence and Security Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISI.2012.6283425","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
We propose a new efficient cryptography-based secure comparison protocol for comparing secrets that are additively split between two parties. Our solution, based on homomorphic cryptosystems, needs 2N + 6 invocations of secure multiplications when the two secrets are numbers in the range [0; 2N); previous solutions required 12N + O(1) secure multiplications. The protocol provides substantial performance improvement in privacy preserving data mining protocols that use comparison as a primitive operation. In particular, we experimentally evaluate the performance of our secure comparison protocol in the implementation of a secure k-means clustering protocol applied to several real datasets.