{"id":1905,"date":"2020-05-08T09:06:23","date_gmt":"2020-05-08T13:06:23","guid":{"rendered":"https:\/\/www.bu.edu\/rhcollab\/?page_id=1905"},"modified":"2021-12-03T15:29:51","modified_gmt":"2021-12-03T20:29:51","slug":"implementing-secure-multi-party-computing","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/rhcollab\/projects\/security-privacy\/implementing-secure-multi-party-computing\/","title":{"rendered":"Implementing Secure Multi-Party Computing"},"content":{"rendered":"

Secure Multiparty Computation (MPC) is a cryptographic primitive that allows several parties to jointly and privately compute desired functions over secret data.\u00a0 Building and deploying practical MPC applications faces several obstacles, including performance overhead, complicated deployment and setup procedures, and adoption of MPC protocols into modern software stacks.\u00a0 MPC applications expose trade-offs between efficiency and privacy that may be hard to reason about, formally characterize, and encode in a protocol design or implementation.<\/p>\n

We describe technical and non-technical challenges from our experience deploying MPC applications in the real world.\u00a0 We showcase JIFF: an extensible general purpose MPC framework capable of running on web and mobile stacks, showing how developments in distributed systems, web development, and the SMDI paradigm can inform MPC constructs and implementation. JIFF is used to implement several MPC applications, including a successfully deployed study on economic opportunity for minority owned businesses in the Boston area, and a service for efficient privacy-preserving route recommendation.<\/p>\n

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Additional Information<\/h3>\n

Implementing Secure Multi-party Computing is a affiliated with the Mass Open Cloud<\/a>.\u00a0 For more information on this project and the unique partnership that produced it, please visit\u00a0<\/span>Red Hat Research<\/a>.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Secure Multiparty Computation (MPC) is a cryptographic primitive that allows several parties to jointly and privately compute desired functions over secret data.\u00a0 Building and deploying practical MPC applications faces several obstacles, including performance overhead, complicated deployment and setup procedures, and adoption of MPC protocols into modern software stacks.\u00a0 MPC applications expose trade-offs between efficiency and […]<\/p>\n","protected":false},"author":3047,"featured_media":0,"parent":2257,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/pages\/1905"}],"collection":[{"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/users\/3047"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/comments?post=1905"}],"version-history":[{"count":3,"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/pages\/1905\/revisions"}],"predecessor-version":[{"id":2290,"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/pages\/1905\/revisions\/2290"}],"up":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/pages\/2257"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/rhcollab\/wp-json\/wp\/v2\/media?parent=1905"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}