PPT-Detecting attacks

Author : pamella-moone | Published Date : 2016-08-14

Based on material by Prof Vern Paxson UC Berkeley Detecting Attacks Given a choice wed like our systems to be airtightsecure But often we dont have that choice

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Detecting attacks: Transcript

Based on material by Prof Vern Paxson UC Berkeley Detecting Attacks Given a choice wed like our systems to be airtightsecure But often we dont have that choice 1 reason why not cost in different dimensions. 8 attacks PINblock formats Attacking PAN with translationverification functions Attacking PIN translation functions Collision attack Conclusion brPage 3br Basic terminology Hardware Security Module HSM Example IBM 4758 depicted below Host device Appl Andrew Fingerhut Cisco Systems Flavio Bonomi Cisco Systems ABSTRACT Ptacek and Newsham 14 showed how to evade signature detection at Intrusion Prevention Systems IPS using TCP and IP Fragmentation These attacks are implemented in tools like FragRout 1 ContributionsType System for detecting PRESENTED By. Sravani . kambam. 1. Outline:. Introduction. Attacks on Wi-Fi . . Networks. DAIR Architecture. Detecting Attacks. Experimental Results. Channel Assignment. Limitations. Related Work. Future Work. Theory, Cues, and Practice. CSU PDI. Steve . Lovaas. January 8, 2010. Overview. What is phishing. Overview of the problem. Evolution of the attacks. How to tackle the problem. Awareness & Attitude. Authors: . Wenyuan. XU, Wade Trappe, . Yanyong. Zhang and Timothy Wood. Wireless Information Network Laboratory, Rutgers University. Presented by . Zigeng. Wang and . Shaobo. Zheng . 1. What is Jamming? . SiteScraping Attacks Protecting Valuable Data and Intellectual Property from Online Thieves Data theft is one of the most dangerous threats for online businesses today. And site scraping tools have Presented By: . Mohammed . Al. -. Mehdhar. 2015. P. resent. a. ti. o. n. . O. u. tli. ne. Introduction. Approaches. Implementation. Evaluation. Conclusion. Q. . &. on . OpenFlow. SDN Networks. Author:. . Charles V. . Neu. . , . Avelino. F. . Zorzox. . , . Alex M. S. . Orozcoy. and . Regio. A. Michelin. Presenter: . Yi-Hsien Wu. Conference: . The 11th International Conference for Internet Technology and Secured Transactions (ICITST-2016. Based on material by Prof. Vern . Paxson. , UC Berkeley. Detecting Attacks. Given a choice, we’d like our systems to be airtight-secure. But often we don’t have that choice. #1 reason why not: cost (in different dimensions). Paxson. , UC Berkeley. Detecting Attacks. Given a choice, we’d like our systems to be airtight-secure. But often we don’t have that choice. #1 reason why not: cost (in different dimensions). A (messy) alternative: detect misuse rather than build a system that can’t be misused. 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. 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. Mengjia Yan, Yasser . Shalabi. , . Josep. . Torrellas. University of Illinois at Urbana-Champaign. http://. iacoma.cs.uiuc.edu. MICRO October 2016. Motivation. Cache-based covert channel attacks. Communicate through cache conflicts.

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