S. Hohenberger, Steven Myers, R. Pass, Abhi Shelat
{"title":"匿名:一个大规模的匿名调查系统","authors":"S. Hohenberger, Steven Myers, R. Pass, Abhi Shelat","doi":"10.1109/SP.2014.31","DOIUrl":null,"url":null,"abstract":"A secure ad-hoc survey scheme enables a survey authority to independently (without any interaction) select an ad-hoc group of registered users based only on their identities (e.g., their email addresses), and create a survey where only selected users can anonymously submit exactly one response. We present a formalization of secure ad-hoc surveys and a provably-secure implementation in the random oracle model, called ANONIZE. Our performance analysis shows that ANONIZE enables securely implementing million-person anonymous surveys using a single modern workstation. As far as we know, ANONIZE constitutes the first implementation of a large-scale secure computation protocol (of non-trivial functionalities) that scales to millions of users.","PeriodicalId":196038,"journal":{"name":"2014 IEEE Symposium on Security and Privacy","volume":"142 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":"{\"title\":\"ANONIZE: A Large-Scale Anonymous Survey System\",\"authors\":\"S. Hohenberger, Steven Myers, R. Pass, Abhi Shelat\",\"doi\":\"10.1109/SP.2014.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A secure ad-hoc survey scheme enables a survey authority to independently (without any interaction) select an ad-hoc group of registered users based only on their identities (e.g., their email addresses), and create a survey where only selected users can anonymously submit exactly one response. We present a formalization of secure ad-hoc surveys and a provably-secure implementation in the random oracle model, called ANONIZE. Our performance analysis shows that ANONIZE enables securely implementing million-person anonymous surveys using a single modern workstation. As far as we know, ANONIZE constitutes the first implementation of a large-scale secure computation protocol (of non-trivial functionalities) that scales to millions of users.\",\"PeriodicalId\":196038,\"journal\":{\"name\":\"2014 IEEE Symposium on Security and Privacy\",\"volume\":\"142 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"38\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Symposium on Security and Privacy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SP.2014.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Symposium on Security and Privacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SP.2014.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A secure ad-hoc survey scheme enables a survey authority to independently (without any interaction) select an ad-hoc group of registered users based only on their identities (e.g., their email addresses), and create a survey where only selected users can anonymously submit exactly one response. We present a formalization of secure ad-hoc surveys and a provably-secure implementation in the random oracle model, called ANONIZE. Our performance analysis shows that ANONIZE enables securely implementing million-person anonymous surveys using a single modern workstation. As far as we know, ANONIZE constitutes the first implementation of a large-scale secure computation protocol (of non-trivial functionalities) that scales to millions of users.