PPT-Monetizing Attacks /

Author : liane-varnes | Published Date : 2017-09-07

The Underground Economy original slides by Prof Vern Paxson University of California Berkeley Today A look at profitdriven cybercrime Monetization of malware

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The Underground Economy original slides by Prof Vern Paxson University of California Berkeley Today A look at profitdriven cybercrime Monetization of malware Monetization of spam. of Electrical Engineering Computer Science Syracuse University Syracuse New York USA xzhang35wedusyredu Abstract In this paper we perform a thorough study on the risks im posed by the globally accessible Android Clipboard Based on the risk assessme 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 Nicole Hamilton, Dennis . Meng. , Alex . Shie. , . Lio. . Sigerson. In terms of computing, a malicious attack can be any physical or electronic action taken with the intent of acquiring, destroying, modifying, or accessing a user’s data without permission. . & Defense!. Who am I?. Michael LaSalvia . H. as . been in the information security industry for over 10 years and has worked for several fortune 500 companies, large managed services providers as well as a SANS mentor. Happened. Right before the September 11th attacks, some fishy business happened within the stock market and insurance firms. An “extraordinary” amount of . traders sold shares in United . Airlines and American . 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). Dana . Dachman. -Soled. University of Maryland. danadach@ece.umd.edu. Cryptography. Public Key Encryption. Digital Signatures. Secure Multiparty Computation. Attacks. Even on “provably secure” schemes such as RSA. Computer Security 2014. Background. An algorithm or software can be designed to be . provably secure. .. E.g. cryptosystems, small OS kernels, TPM modules, .... Involves proving that certain situations cannot arise. How the Attacks Start. Popularity of these sites with millions of users makes them perfect places for cyber attacks or cybercriminal activities. Typically happen when user log in to their social networking sites like Facebook or Twitter. BY: Alize Cota Source: January 1,2015. who . is this article is about . ???. Ryan Shapiro 18, at South Inlet park in Boca Raton Florida November 11, 2014. Was recently bitten by a Spinner shark by Fort Pierce. But he said “I'm not going to let something bad stand in my way!”. 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. Source. :: http://thecleartech.com/wp-content/uploads/XKCD-password_strength-part1.png. Agenda. 1. . Introduction. 2. . Weaknesses and attacks. 2.1. Client-based attacks. 2.2. Transport-based attacks. Unlike other forms of computer attacks, goal isn’t access or theft of information or services. The goal is to stop the service from operating. To deny service to legitimate users. Slowing down may be good enough.

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