PPT-Automated malware classification based on network behavior

Author : lindy-dunigan | Published Date : 2017-03-30

2013 international conference on computing networking and communications communications and information security symposium Author Saeed Nari Ali A Ghorbani

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Automated malware classification based on network behavior: Transcript


2013 international conference on computing networking and communications communications and information security symposium Author Saeed Nari Ali A Ghorbani 17 1 Speaker Wen Lin Yu . Sophisticated Criminals or . Babytown. Frolics?. Ryan Merritt. Josh Grunzweig. Who We Are. Josh Grunzweig. Security Researcher. Malware Reverser. Dabbles in Ruby. Homebrewer. Ryan Merritt. Security Researcher. Connor Schnaith, Taiyo Sogawa. 9 April 2012. Motivation. “. 5. 000 . new. malware samples per day”. --David Perry of Trend Micro. Large variance between attacks. Polymorphic attacks . Perform the same function. Analysis. Part 4. Veronica Kovah. vkovah.ost. at . gmail. See notes for citation. 1. http://. opensecuritytraining.info. /. MalwareDynamicAnalysis.html. All . materials is licensed under . a Creative . CS 598: Network Security. Michael Rogers & Leena Winterrowd. March 26, 2013. Types of Malware. Image courtesy of prensa.pandasecurity.com. Types of Malware. Viruses 16,82%. Trojan horses. 69.99%. A Look at Cuckoo Sandbox. Introduction. What is Malware?. (. mãl'wâr. ') - . Malicious . computer software that interferes with normal computer . functions. What is Automated Malware Analysis?. Taking what has been done by highly skilled professionals in extremely time consuming tasks and making it, quick, easy and repeatable. Automated Malware Analysis is being touted as the “Next Generation Anti-Virus” solution.. Suman Jana and Vitaly Shmatikov. The University of Texas at Austin. All about sophisticated detection and evasion techniques. Polymorphism, metamorphism, obfuscation… . Modern malware research. All about sophisticated detection and evasion techniques. Software Engineering Institute. Carnegie Mellon University. Pittsburgh, PA 15213. Nancy R. Mead. Copyright . 2017 . Carnegie Mellon University. This material is based upon work funded and supported by the Department of Defense under Contract No. FA8721-05-C-0003 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center.. CS 598: Network Security. Michael Rogers & Leena Winterrowd. March 26, 2013. Types of Malware. Image courtesy of prensa.pandasecurity.com. Types of Malware. Viruses 16,82%. Trojan horses. 69.99%. Jeremy . Blackthorne. , Benjamin Kaiser, . Benjamin Fuller. , and Bulent . Yener. Contribution. Malware changes behavior by observing environment to avoid analysis. Complementary technique to obfuscation. The Build Alpha is a genetic trading software that offers a wide range of clients to use the best systematic trading strategies based on user-selected fitness functions such as net profits, overall risk, etc. and test criteria. Erdal Ozkaya . Raymond Comvalius. CISO . Infrastructure Architect. Emt. Holding . NEXTXPERT. Module Agenda. First response at a malware attack. Recognizing. malware. Identifying. Nael Abu-Ghazaleh. Joint work with Khaled . Khasawneh. , Dmitry . Ponomarev. and Lei Yu. Malware is Everywhere!. Malware is Everywhere!. Over 250,000 malware registered every day! . Hardware Malware Detectors (HMDs). Grace. M, Zhou. Y, . Shilong. . Z, Jiang. . X. RiskRanker. analyses the paths within an android application. Potentially malicious security risks are flagged for investigation. Summary. This application showcases how reverse engineering. Analysts. “Decrease exposure time from . d. etection to . e. radication”. Garrett Schubert – EMC Corporation. Critical Incident Response Center. Incident Response\Content Lead. Surgery on the front lines.

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