PPT-Malicious Code

Author : sherrill-nordquist | Published Date : 2017-05-15

CSH6 Chapter 16 Malicious Code Robert Guess amp Eric Salveggio Topics Introduction Malicious Code Threat Model Survey of Malicious Code Prevention of Malicious Code

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Malicious Code: Transcript

CSH6 Chapter 16 Malicious Code Robert Guess amp Eric Salveggio Topics Introduction Malicious Code Threat Model Survey of Malicious Code Prevention of Malicious Code Attacks CSH6 Chapter 16 Malicious Code. Kalafut School of Informatics and Computing Indiana University at Bloomington akalafutcsindianaedu Craig A Shue Computational Sciences and Engineering Oak Ridge National Laboratory shuecaornlgov Minaxi Gupta School of Informatics and Computing India What You Need To Know. Training Overview. This course will discuss the following subject areas:. How this training relates to you. Overview of the HIPAA (Health Insurance Portability and Accountability Act) Security rule and terms you should know. High-tech section of chapter 3. Malicious Software. Application software consists of programs designed to make users more productive and/or assist with personal . tasks. . Growth of internet simplified the spread of malware. Malicious. Amicable. Interminable. Vivacious. Lethargic. Intrepid. Audacity. Obdurate. Trudge. Credible. Defenestrate. Articulate. Discordant. Mellifluous. Upbraid. Voracious. Incognito. Cosmopolitan. : Detecting Malicious Facebook . Applications. Md Sazzadur . Rahman. , Ting-Kai Huang, Harsha . Madhyastha. , Michalis . Faloutsos. University of California, Riverside . . Problem . S. tatement. 2. S. : . The Evolution of Evasive Malware . Giovanni Vigna. Department of Computer Science. University of California Santa Barbara. http://. www.cs.ucsb.edu. /~. vigna. Lastline, Inc.. http://. www.lastline.com. Alexandros. . Kapravelos. ◊. ,. . Chris . Grier. †*, . Neha. . Chachra. ‡, . Christopher . Kruegel. ◊. ,. . Giovanni . Vigna. ◊. ,. . Vern. . Paxson. †*. ◊. UC . Santa . Barbara, . Dan R. K. . Ports & . Tal . Garfinkel. Course: Design of Secure Operating System. Presented By: . Sai. . Uday. . Kiran. Ravi. Towards Application Security On Untrusted Operating Systems. Introduction. Sam King. Browser m. otivation. Browsers most commonly used application . today. Browsers are an application platform. Email, banking, investing, shopping, television, and more!. Browsers are plagued with vulnerabilities. : Detecting Malicious Facebook . Applications. Md Sazzadur . Rahman. , Ting-Kai Huang, Harsha . Madhyastha. , Michalis . Faloutsos. University of California, Riverside . . Problem . S. tatement. 2. S. Sarah . Jaffer. PCs monitored by users. Varying levels of security. Autonomous Systems (AS) monitored by . sysadmin. Same security within a system. Which is more valuable in a botnet?. Malicious Hubs. Tao Xie. Joint Work w/ . David Yang, . Sihan Li (Illinois). Xusheng . Xiao, Benjamin Andow, . Rahul . Pandita, . William Enck (NCSU). Mobile App Markets. Apple App Store. Google Play. Microsoft Windows Phone. modified from slides of . Lawrie. Brown. Malware. [NIST05] defines malware as:. “a program that is inserted into a system, usually covertly, with the intent of compromising the . confidentiality. , . MALICIOUS URL DETECTION For Machine Learning Coursework BY PRAGATHI NARENDRA PROBLEMS Everything online-> is your data secure?? Cyber attacks- huge threat in current days Monetary loss Theft of private information

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