PPT-Automatic program generation for detecting vulnerabilities

Author : karlyn-bohler | Published Date : 2018-01-18

03683500 Nurit Dor Shir Landau Feibish Noam Rinetzky Preliminaries Students will group in teams of 23 students Each group will do one of the projects presented

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Automatic program generation for detecting vulnerabilities: Transcript

03683500 Nurit Dor Shir Landau Feibish Noam Rinetzky Preliminaries Students will group in teams of 23 students Each group will do one of the projects presented Administration. CS . 795/895. References. . Reference 1. Big List of Information Security Vulnerabilities, John . Spacey, 2011 . http://. simplicable.com/new/the-big-list-of-information-security-vulnerabilities. Reference 2. Top Ten Database Security Threats, . S. ignature Generation. . of . Vulnerability-based . Signature. By David . Brumley. , James Newsome, Dawn Song and . Hao. Wang and . Somesh. . Jha. Part I. Presenter: . Xin. Zhao. Definition. Vulnerability - . Su Zhang. Department of Computing and Information Science. Kansas State University. 1. Outline. Motivation.. Related work.. Proposed approach.. Possible techniques.. Plan.. 2. Outline. Motivation.. Related work.. of Computer Programs. What is verification. Check correctness of the implementation given the specification. Static verification. Check correctness without executing the program. E.g. static type systems, theorem provers. Instructions. Automatic Lensometer. The automatic lensometer, or lens analyzer, is a device for automatically measuring the lens power (sphere, cylinder, and axis) for single, multifocal, and progressive . Experimental Analysis, Exploits, and Mitigation Techniques. HPCA Session 3A – Monday, 3:15 . pm. , Salon F. 128GB. NAND . Flash. 256GB. NAND Flash. NAND flash scaling: . shrink size. . of each . flash cell, . . of . Vulnerability-based . Signature. By David . Brumley. , James Newsome, Dawn Song and . Hao. Wang and . Somesh. . Jha. Part I. Presenter: . Xin. Zhao. Definition. Vulnerability - . A vulnerability is a type of bug that can be used by an attacker to alter the intended operation of the software in a malicious way.. concolic. execution. Suman Jana. *slides . are . adapted from . Adam . Kiezun. , Philip J. . Guo. , . Karthick. . Jayaraman. , . and Michael . D. Ernst. Automatic Creation of . SQL Injection and. Cross-Site Scripting . Flash Memory Programming:. Experimental Analysis, Exploits,. and Mitigation Techniques. Yu Cai, . Saugata Ghose. , Yixin Luo,. Ken Mai, Onur Mutlu, Erich F. . Haratsch. February 6, 2017. Executive Summary. Detecting Variation. In populations or when comparing closely related species, one major objective is to identify variation among the samples. AKA, one of the main goals in genomics is to identify what genomic features make individuals/populations/species different. CS . 795/895. References. . Reference 1. Big List of Information Security Vulnerabilities, John . Spacey, 2011 . http://. simplicable.com/new/the-big-list-of-information-security-vulnerabilities. Reference 2. Top Ten Database Security Threats, . Flash Memory Programming:. Experimental Analysis, Exploits,. and Mitigation Techniques. Yu Cai, . Saugata Ghose. , Yixin Luo,. Ken Mai, Onur Mutlu, Erich F. . Haratsch. February 6, 2017. Executive Summary. . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. 1. . Present by: Ying Zhang. 1. Meng, Na, et al. "Secure coding practices in java: Challenges and vulnerabilities." . 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE). . IEEE, 2018..

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