PPT-Homomorphic Encryption

Tutorial Shai Halevi IBM CRYPTO 2011 Computing on Encrypted Data Wouldnt it be nice to be able to Encrypt my data before sending to the cloud While still allowing the cloud to searchsortedit this data on my behalf. 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 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. CSE 5351: Introduction to Cryptography. Reading assignment:. Chapter 2. Chapter 3 (sections 3.1-3.4). You may skip proofs, but are encouraged to read some of them.. 2. Computational Difficulty (One-Way Functions). 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. 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. . 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 . 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. 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 . 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). Election. Technologies. How Elections . Should . Be Run. Josh . Benaloh. Senior Cryptographer. Microsoft Research. Traditional Voting Methods. Traditional Voting Methods. Hand-Counted Paper. Traditional Voting Methods. 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. 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. Ohio Information Security Forum. July 16. th. , . 2011. James . Walden, Ph.D.. Northern Kentucky University. 2. Topics. What is Cloud Computing?. The Same Old Security Problems. Virtualization Security. 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