PPT-Detecting Vulnerabilities in Web Code with
Author : aaron | Published Date : 2018-03-17
concolic execution Suman Jana slides are adapted from Adam Kiezun Philip J Guo Karthick Jayaraman and Michael D Ernst Automatic Creation of SQL Injection
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Detecting Vulnerabilities in Web Code with: Transcript
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 CrossSite Scripting . 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, . Reduce Risk and Cost. Jonathan . Trull. @. jonathantrull. CISO, . Qualys. Seth Corder . @. corderseth. Automation Specialist, BMC. The Great Divide. 2. DevOps. Security. 3. Attack-Defend Cycle (OODA Loop). confirmed vulnerabilities, engineers analyze the results to determine which critical assets and data are exposed. The prioritized and actionable results of the analysis are then delivered to your orga 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, . 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.. Concrete Vulnerability Demonstrations for Software Engineering Undergraduates. Andy Meneely . and Samuel . Lucidi. Department of Software Engineering. Rochester Institute of Technology. Software Must Be Secure!. --Third Presentation. Su Zhang. 1. Outline. Quick Review.. Data Source – NVD.. Data Preprocessing.. Experimental Results.. An Essential Limitation.. An Alternative Feature.. Conclusion.. Future Work.. . 0368-3500. Nurit. . Dor. Shir. Landau-. Feibish. Noam Rinetzky. Preliminaries. Students will group in teams of 2-3 students. . Each group will do one of the projects presented.. Administration. 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.. 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. 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, . Product . Line Manager | Next Generation Security Platforms. rohanrkotian. @hp.com. Next Generation Cyber Threats. Shining . the Light on the Industries' Best Kept. . Secret. “Achieving victory in Cyber Security is not going to be won at the traditional point product” -JP. for . Austin Energy Conference. (A funny thing happened on the way to utopia). April 13, 2017. Alex Athey, PhD. Emerging Security and Technology Group. Applied Research Laboratories. The University of Texas at Austin. Roi Shillo, Nick Hoernle, Kobi Gal. Creativity is…. Ubiquitous. [Schank & Cleary 95]. Fundamental . [Boden, 98]. Machine recognisable . [Newell, Shaw & Simon 62]. Focus for EDM. Open Ended Environments.
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