PPT-Homomorphic Encryption from RLWE

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. Lyon CNRS ENS de Lyon INRIA UCBL 46 Alle dItalie 69364 Lyon Cedex 07 France damienstehlegmailcom httppersoenslyonfrdamienstehle Centre for Advanced Computing Algorithms and Cryptography Department of Computing Macquarie University NSW 2109 Australi . Really. 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.. Team 2.0. Nayan Thakkar, Eddie Gallon, David Kotar, . Bruce Malone and Pamela Dorman. Requirements for Solution. Support for: . Mid size company "X" with ~250 employees. Windows network with Exchange 2010 w/350 mailboxes. Homomorphic. Encryption on GPUs. Wei Wang, Yin Hu, . Lianmu. Chen, . Xinming. Huang, . Berk. . Sunar. ECE Dept.,. Worcester Polytechnic Institute. Fully . Homomorphic. Encryption. Introduced by Gentry in 2009. challenge. response. Shai. . Halevi. June 16, 2011. June 16, 2011. 2. Computing on Encrypted Data. Wouldn’t it be nice to be able to…. Encrypt my data in the cloud. While still allowing the cloud to search/sort/edit/… this data on my behalf. 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. Name : . Maryam Mohammed . Alshami. ID:. H00204657. Encryption. : . is the process of encoding messages or information in such a way that only authorized parties can read it. .. Important part of computing to keep our file . 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 . By: Matthew Eilertson. Overview. FHE, origins, why we care?. Background Discussion. First Implementation (Craig Gentry). Somewhat Homomorphic Encryption (SWHE). Bootstrapping. Recent Improvement (Craig Gentry Et al). Computing on Private Data. Ten H Lai. Ohio State University. Agenda. Computing on private data. Fully . homomorphic. encryption . (FHE). Gentry’s bootstrapping theorem. Our result. FHE: The Holy Grail of Cryptography. Homomorphic. Encryption. Murali. Mani, . UMFlint. Talk given at CIDR, Jan 7, 2013. 1. Scenario. 2. Content-Owner. (Client). Cloud Service Provider (Content Host). (Has lot of resources). Limited resources (cannot host . Cryptography. Is:. A tremendous tool. The basis for many security mechanisms. Is not:. The solution to all security problems. Reliable unless implemented and used properly. Something you should try to invent yourself. Crypto Concepts Symmetric encryption, Public key encryption, and TLS Cryptography Is: A tremendous tool The basis for many security mechanisms Is not: The solution to all security problems Reliable unless implemented and used properly 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.