PPT-On Homomorphic Encryption and Secure Computation

Author : yoshiko-marsland | Published Date : 2016-05-06

challenge response Shai Halevi June 16 2011 June 16 2011 2 Computing on Encrypted Data Wouldnt it be nice to be able to Encrypt my data in the cloud While still

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On Homomorphic Encryption and Secure Computation: Transcript

challenge response Shai Halevi June 16 2011 June 16 2011 2 Computing on Encrypted Data Wouldnt it be nice to be able to Encrypt my data in the cloud While still allowing the cloud to searchsortedit this data on my behalf. 0368-4474-01, . Winter 2011. Lecture 14:. More on vulnerability and exploits,. Fully . homomorphic. encryption. Eran. . Tromer. Slides credit: . Vinod. . Vaikuntanathan. (U. Toronto). More on vulnerability exploitation. Homomorphic Encryption. Kristin Lauter. Cryptography Research Group. Microsoft Research. Crypto Day . 2015. May 13, . 2015. Protecting Data via Encryption: . Homomorphic encryption. Put your gold in a locked box. . WHAT, WHY, and HOW. Vinod. . Vaikuntanathan. University of Toronto. A Brief History of Cryptography. Julius . Ceasar. (100-44 BC). In the beginning, there was . symmetric. . encryption.. Message: . Arvind Arasu, Ken Eguro, . Ravi Ramamurthy, Raghav Kaushik. Microsoft Research. Cloud Computing . 2. Well-documented benefits. Trend to move computation and data to cloud. Database functionality. Amazon RDS. Schemes and Parameters. Joppe W. Bos. Microsoft Research. Contains joint work with Kristin . Lauter, . Jake Loftus and Michael Naehrig. Computing on Encrypted Data. Motivation. Outsource data and computation. Craig Gentry. and . Shai. . Halevi. June 3, 2014. Somewhat . Homomorphic. Encryption. Part 1: . Homomorphic. Encryption: Background, Applications, Limitations. Computing on Encrypted Data. Can we delegate the . Schemes and Parameters. Joppe W. Bos. Microsoft Research. Contains joint work with Kristin . Lauter, . Jake Loftus and Michael Naehrig. Computing on Encrypted Data. Motivation. Outsource data and computation. Online Cryptography Course Dan Boneh. Deriving many keys from one. Typical scenario. . a single . source key . (SK) is sampled from:. Hardware random number generator. Ranjit . Kumaresan. (MIT). Based on joint works with . Iddo. . Bentov. (. Technion. ), Tal Moran (IDC), Guy . Zyskind. (MIT). x. f. . (. x,y. ). y. f. . (. x,y. ). Secure Computation. Most general problem in cryptography. Tore Frederiksen. , . Thomas . Jakobsen. , . Jesper. Nielsen, Peter . Nordholt. , Claudio . Orlandi. 27-08-2016. The LEGO Approach for. Maliciously Secure Two-Party Computation. 1. What we will present. Payman. . Mohassel. Yahoo Labs. 1. Do We Have the Same Person. in Mind?. Alice. Bob. Jack. . Joe. o. nly reveal . Yes/No. Solutions?. You have access to a trusted computer. You can use an airline reservation service. Be Run . Josh Benaloh. Senior Cryptographer. Microsoft Research. Disclaimer. Any opinions presented in this talk are my own and do not necessary represent those of the Microsoft Corporation or any subsidiary or partner thereof.. Student: Q.D. MCGAW. Supervisors: . Dr.. Wei Dai and . Dr.. Cong Ling. Second marker: Professor . Athanassios. . Manikas. 20 June 2016. Provide a general purpose C++ API for homomorphic encryption and cloud computing. Ravi Ramamurthy, Raghav Kaushik. Microsoft Research. 1. Cloud Computing . 2. Well-documented benefits. Trend to move computation and data to cloud. Database functionality. Amazon RDS. Microsoft SQL Azure.

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