{"id":619023,"date":"2019-10-31T15:27:05","date_gmt":"2019-10-31T22:27:05","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=619023"},"modified":"2020-05-15T07:51:44","modified_gmt":"2020-05-15T14:51:44","slug":"evercrypt-a-fast-veri%ef%ac%81ed-cross-platform-cryptographic-provider","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/evercrypt-a-fast-veri%ef%ac%81ed-cross-platform-cryptographic-provider\/","title":{"rendered":"EverCrypt: A Fast, Veri\ufb01ed, Cross-Platform Cryptographic Provider"},"content":{"rendered":"<p>We present EverCrypt: a comprehensive collection of veri\ufb01ed, high-performance cryptographic functionalities available via a carefully designed API. The API provably supports agility (choosing between multiple algorithms for the same functionality) and multiplexing (choosing between multiple implementations of the same algorithm). Through abstraction and zero-cost generic programming, we show how agility can simplify veri\ufb01cation without sacri\ufb01cing performance, and we demonstrate how C and assembly can be composed and veri\ufb01ed against shared speci\ufb01cations. We substantiate the effectiveness of these techniques with new veri\ufb01ed implementations (including hashes, Curve25519, and AES-GCM) whose performance matches or exceeds the best unveri\ufb01ed implementations. We validate the API design with two high-performance veri\ufb01ed case studies built atop EverCrypt, resulting in line-rate performance for a secure network protocol and a Merkle-tree library, used in a production blockchain, that supports 2.7 million insertions\/sec. Altogether, EverCrypt consists of over 124K veri\ufb01ed lines of specs, code, and proofs, and it produces over 29K lines of C and 14K lines of assembly code.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present EverCrypt: a comprehensive collection of veri\ufb01ed, high-performance cryptographic functionalities available via a carefully designed API. The API provably supports agility (choosing between multiple algorithms for the same functionality) and multiplexing (choosing between multiple implementations of the same algorithm). Through abstraction and zero-cost generic programming, we show how agility can simplify veri\ufb01cation without sacri\ufb01cing [&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":"IEEE","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"IEEE Symposium on Security and 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