{"title":"全球规模安全多方计算","authors":"X. Wang, Samuel Ranellucci, Jonathan Katz","doi":"10.1145/3133956.3133979","DOIUrl":null,"url":null,"abstract":"We propose a new, constant-round protocol for multi-party computation of boolean circuits that is secure against an arbitrary number of malicious corruptions. At a high level, we extend and generalize recent work of Wang et al. in the two-party setting. Namely, we design an efficient preprocessing phase that allows the parties to generate authenticated information; we then show how to use this information to distributively construct a single \"authenticated\" garbled circuit that is evaluated by one party. Our resulting protocol improves upon the state-of-the-art both asymptotically and concretely. We validate these claims via several experiments demonstrating both the efficiency and scalability of our protocol: Efficiency: For three-party computation over a LAN, our protocol requires only 95 ms to evaluate AES. This is roughly a 700X improvement over the best prior work, and only 2.5X slower than the best known result in the two-party setting. In general, for n-party computation our protocol improves upon prior work (which was never implemented) by a factor of more than 230n, e.g., an improvement of 3 orders of magnitude for 5-party computation. Scalability: We successfully executed our protocol with a large number of parties located all over the world, computing (for example) AES with 128 parties across 5 continents in under 3 minutes. Our work represents the largest-scale demonstration of secure computation to date.","PeriodicalId":191367,"journal":{"name":"Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"159","resultStr":"{\"title\":\"Global-Scale Secure Multiparty Computation\",\"authors\":\"X. Wang, Samuel Ranellucci, Jonathan Katz\",\"doi\":\"10.1145/3133956.3133979\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new, constant-round protocol for multi-party computation of boolean circuits that is secure against an arbitrary number of malicious corruptions. At a high level, we extend and generalize recent work of Wang et al. in the two-party setting. Namely, we design an efficient preprocessing phase that allows the parties to generate authenticated information; we then show how to use this information to distributively construct a single \\\"authenticated\\\" garbled circuit that is evaluated by one party. Our resulting protocol improves upon the state-of-the-art both asymptotically and concretely. We validate these claims via several experiments demonstrating both the efficiency and scalability of our protocol: Efficiency: For three-party computation over a LAN, our protocol requires only 95 ms to evaluate AES. This is roughly a 700X improvement over the best prior work, and only 2.5X slower than the best known result in the two-party setting. In general, for n-party computation our protocol improves upon prior work (which was never implemented) by a factor of more than 230n, e.g., an improvement of 3 orders of magnitude for 5-party computation. Scalability: We successfully executed our protocol with a large number of parties located all over the world, computing (for example) AES with 128 parties across 5 continents in under 3 minutes. Our work represents the largest-scale demonstration of secure computation to date.\",\"PeriodicalId\":191367,\"journal\":{\"name\":\"Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"159\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3133956.3133979\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3133956.3133979","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose a new, constant-round protocol for multi-party computation of boolean circuits that is secure against an arbitrary number of malicious corruptions. At a high level, we extend and generalize recent work of Wang et al. in the two-party setting. Namely, we design an efficient preprocessing phase that allows the parties to generate authenticated information; we then show how to use this information to distributively construct a single "authenticated" garbled circuit that is evaluated by one party. Our resulting protocol improves upon the state-of-the-art both asymptotically and concretely. We validate these claims via several experiments demonstrating both the efficiency and scalability of our protocol: Efficiency: For three-party computation over a LAN, our protocol requires only 95 ms to evaluate AES. This is roughly a 700X improvement over the best prior work, and only 2.5X slower than the best known result in the two-party setting. In general, for n-party computation our protocol improves upon prior work (which was never implemented) by a factor of more than 230n, e.g., an improvement of 3 orders of magnitude for 5-party computation. Scalability: We successfully executed our protocol with a large number of parties located all over the world, computing (for example) AES with 128 parties across 5 continents in under 3 minutes. Our work represents the largest-scale demonstration of secure computation to date.