{"id":367715,"date":"2017-02-28T11:48:04","date_gmt":"2017-02-28T19:48:04","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=367715"},"modified":"2018-10-16T21:35:45","modified_gmt":"2018-10-17T04:35:45","slug":"efficient-batched-oblivious-prf-applications-private-set-intersection","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/efficient-batched-oblivious-prf-applications-private-set-intersection\/","title":{"rendered":"Efficient Batched Oblivious PRF with Applications to Private Set Intersection"},"content":{"rendered":"<div class=\"layout\">\n<div id=\"citationdetails\" class=\" x-tabs-top\">\n<div id=\"tab-body9\" class=\" x-tabs-body\">\n<div id=\"abstract\" class=\"ytab x-tabs-item-body\">\n<div class=\"tabbody\">\n<div>\n<p>We describe a lightweight protocol for oblivious evaluation of a pseudorandom function (OPRF) in the presence of semihonest adversaries. In an OPRF protocol a receiver has an input r; the sender gets output s and the receiver gets output F(s; r), where F is a pseudorandom function and s is a random seed. Our protocol uses a novel adaptation of 1-out-of-2 OT-extension protocols, and is particularly efficient when used to generate a large batch of OPRF instances. The cost to realize m OPRF instances is roughly the cost to realize 3:5m instances of standard 1-out-of-2 OTs (using state-of-the-art OT extension). We explore in detail our protocol&#8217;s application to semihonest secure private set intersection (PSI). The fastest state-of- the-art PSI protocol (Pinkas et al., Usenix 2015) is based on efficient OT extension. We observe that our OPRF can be used to remove their PSI protocol&#8217;s dependence on the bit-length of the parties&#8217; items. We implemented both PSI protocol variants and found ours to be 3.1{3.6 faster than Pinkas et al. for PSI of 128-bit strings and sufficiently large sets. Concretely, ours requires only 3.8 seconds to securely compute the intersection of 220-size sets, regardless of the bitlength of the items. For very large sets, our protocol is only 4:3 slower than the insecure naive hashing approach for PSI.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>We describe a lightweight protocol for oblivious evaluation of a pseudorandom function (OPRF) in the presence of semihonest adversaries. In an OPRF protocol a receiver has an input r; the sender gets output s and the receiver gets output F(s; r), where F is a pseudorandom function and s is a random seed. Our protocol [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"ACM New York, NY, USA \u00a92016","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"CCS '16 Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security","msr_editors":"","msr_how_published":"","msr_isbn":"978-1-4503-4139-4","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"818-829","msr_page_range_start":"818","msr_page_range_end":"829","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"CCS '16 Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications 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