PPT-Introduction to Provable Security

Models Adversaries Reductions Cryptography Cryptology from   Greek   κρυ πτός   kryptós hidden secret and  γράφειν graphein writing or  λογία. using Wolfe’s Algorithm. Deeparnab Chakrabarty (Microsoft Research). Prateek Jain (Microsoft Research). Pravesh Kothari (U. Texas). Submodular Functions. f . : Subsets . of {1,2,..,n} .  integers. to. Security. . Computer Networks . Term . A15. Intro to Security Outline. Network Security. Malware. Spyware, viruses, worms and . trojan. horses, botnets. Denial of Service and Distributed DOS Attacks. Multicloud. Storage. Abstract. Provable data possession (PDP) is a probabilistic proof technique for cloud service providers (CSPs) to prove the clients' data integrity without downloading the whole data. In 2012, Zhu et al. . Fang Song. IQC, University of Waterloo. -- “Quantum-Friendly” Reductions. 2. How do . quantum . attacks change classical cryptography?. Crypto-systems based on the hardness of factoring and discrete-log are . David Brumley. dbrumley@cmu.edu. Carnegie Mellon University. Today: Overview. Course Staff. Trusting Trust. Course Overview. Example Applications. Course Mechanics. CMU CTF Team. 2. You will find. a. . Defaults. Foundations of AI. Given an N X N matrix, and given N colors, color the matrix in such a way that:. -all cells are colored;. - each color occurs exactly once in each row;. - each color occurs exactly once in each column;. . Defaults. Foundations of AI. Given an N X N matrix, and given N colors, color the matrix in such a way that:. -all cells are colored;. - each color occurs exactly once in each row;. - each color occurs exactly once in each column;. ECE 422 / CS 461 - Fall 2013. *Acknowledgment: Thanks to Susan . Hinrichs. for her slides. Outline. Administrative Issues. Class Overview. Introduction to Computer Security. What is computer security?. Introduction . & Overview. Contents from Prof. . . Kwangjo. . Kim and Other Sources. Syllabus Overview. Basic . terms . Quick . overview on information security . Course Detail. Objectives:. . Suman Jana. Columbia University. *some slides are borrowed from . Vitaly. . Shmatikov. and Ari . Juels. 1. Course goals. Understand the fundamental principles of security. What are the common security mechanisms? Why they often go wrong?. . PAGE 138 to 142. . fact. An objective statement, one that can be proved . opinion. One possible interpretation of the facts, subjective statement that is not based on proof . Objective. Provable . David Brumley. dbrumley@cmu.edu. Carnegie Mellon University. Today: Overview. Course Staff. Trusting Trust. Course Overview. Example Applications. Course Mechanics. CMU CTF Team. 2. You will find. a. Introduction to Provable Security Models, Adversaries, Reductions Cryptography / Cryptology “from   Greek   κρυ πτός   kryptós , "hidden, secret"; and  γράφειν graphein , "writing", or  Security I: Introduction & Threat Model Suman Jana Columbia University *some slides are borrowed from Vitaly Shmatikov and Ari Juels 1 Course goals Understand the fundamental principles of security