{"title":"Secure minimum weighted bipartite matching","authors":"B. Anandan, Chris Clifton","doi":"10.1109/DESEC.2017.8073798","DOIUrl":null,"url":null,"abstract":"Simple application of secure multi-party computation techniques on an algorithm is not sufficient to guarantee privacy, if the underlying algorithm is data dependent or if the output can leak information. The first issue can be addressed through data oblivious computation, the second through differential privacy. However, both can be difficult to achieve with graph algorithms. This paper addresses both problems, giving a differentially private data-oblivious protocol for minimum weighted bipartite matching and minimum vertex cover.","PeriodicalId":92346,"journal":{"name":"DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International...","volume":"133 3","pages":"60-67"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DESEC.2017.8073798","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
Simple application of secure multi-party computation techniques on an algorithm is not sufficient to guarantee privacy, if the underlying algorithm is data dependent or if the output can leak information. The first issue can be addressed through data oblivious computation, the second through differential privacy. However, both can be difficult to achieve with graph algorithms. This paper addresses both problems, giving a differentially private data-oblivious protocol for minimum weighted bipartite matching and minimum vertex cover.