{"id":349115,"date":"2017-01-09T10:35:37","date_gmt":"2017-01-09T18:35:37","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=349115"},"modified":"2018-10-16T20:05:31","modified_gmt":"2018-10-17T03:05:31","slug":"information-flow-types-homomorphic-encryptions","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/information-flow-types-homomorphic-encryptions\/","title":{"rendered":"Information-Flow Types for Homomorphic Encryptions"},"content":{"rendered":"

We develop a flexible information-flow type system for a range of encryption primitives, precisely reflecting their diverse functional and security features. Our rules enable encryption, blinding, homomorphic computation, and decryption, with selective key re-use for different types of payloads. We show that, under standard cryptographic assumptions, any well-typed probabilistic program using encryptions is secure (that is, computationally non-interferent) against active adversaries, both for confidentiality and integrity. We illustrate our approach using ElGamal and Paillier encryption. We present two applications of cryptographic verification by typing: (1) private search on data streams; and (2) the bootstrapping part of Gentry\u2019s fully homomorphic encryption. We provide a prototype typechecker for our system.<\/p>\n","protected":false},"excerpt":{"rendered":"

We develop a flexible information-flow type system for a range of encryption primitives, precisely reflecting their diverse functional and security features. Our rules enable encryption, blinding, homomorphic computation, and decryption, with selective key re-use for different types of payloads. We show that, under standard cryptographic assumptions, any well-typed probabilistic program using encryptions is secure (that […]<\/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":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13558],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-349115","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-security-privacy-cryptography","msr-locale-en_us"],"msr_publishername":"ACM","msr_edition":"18th ACM Conference on Computer and Communications Security 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