PDF-30. Malicious maiming.
Author : debby-jeon | Published Date : 2015-08-29
GS 14 30 Page 1
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30. Malicious maiming.: Transcript
GS 14 30 Page 1. 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 G.S. 14 - 29 Page 1 JOHN E ARCHER T HE study of animal maiming has been, and still is, a subject which social historians have ignored. The standard works on rural protest by Dunba- bin, Horn, Hobsbawm and Rudd invari- a Management and Adversary Detection. for Delay-Tolerant Networks. Authors:. . Erman. . Ayday. . and . Faramarz. . Fekri. Presented by:. Sameer Alomari (salomari@vt.edu). Outline. INTRODUCTION. MANETs V.S DTNs. : Detecting Malicious Facebook . Applications. Md Sazzadur . Rahman. , Ting-Kai Huang, Harsha . Madhyastha. , Michalis . Faloutsos. University of California, Riverside . . Problem . S. tatement. 2. S. Sean Ford, Macro . Cova. , . Christopher . Kruegel. , Giovanni . Vigna. University of California, Santa Barbara. ACSAC 2009. Outline. About Flash. An Attack Sample. Evasion. Design and Implementation. Bahman . Rashidi. December 5. th. , 2014. 1. Overview. Introduction. RecDroid system. Game theoretic model. Nash equilibrium. Discussion. Conclusion. 2. RecDroid system. What is RecDroid?. A framework, to improve . Alexandros. . Kapravelos. ◊. ,. . Chris . Grier. †*, . Neha. . Chachra. ‡, . Christopher . Kruegel. ◊. ,. . Giovanni . Vigna. ◊. ,. . Vern. . Paxson. †*. ◊. UC . Santa . Barbara, . :. . Identifying. . Malicious. . Ci. r. cuits. Presented by: Jayce Gaines. Slides adapted from:. Adam. . W. a. k. sman. . M. a. tth. e. w. . Suoz. z. o Simha. . Sethumadh. a. v. an. Compute. r. Behavioral Risk Indicators of Malicious Insider Theft of Intellectual Property:Misreading the Writing on the WallEric D. Shaw, Ph.D.Harley V. Stock, Ph.D., ABPP, Diplomate, American Board of Forensic Unit - . 2. Outline. Malicious code. Password attacks. DOS Attack. Application attacks. Web application security. Reconnaissance(Exploration) attack. Masquerading attack. Basic types:. Virus. Worms . 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. Ing-Ray Chen, Jia Gua, and Fenye Bao. Background. Background. Internet of Things (IoT) system connects the physical world into cyberspace. Service-oriented architecture (SOA) enables publishing, discovery, selection, and composition of services offered by loT services. 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.
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