PPT-Mac Malware

By Shane Binkerd Shane Moreland Travis Gardner Amphimix Appeared in 2004 Trojan Horse D isguised as an MP3 file Including the MP3 icon Leap First appeared in 2006 Worm. Author : . Yajin. Zhou, . Xuxuan. Jiang. TJ. Index of this paper. Introduction. Malware Timeline. Malware Characterization. Malware Installation. Repackaging. Update Attack. Drive-by Download. Others. MARS.MTC.SRI.COM. Motivation. Malware landscape is diverse and constant evolving. Large botnets. Diverse propagation vectors, exploits, C&C. Capabilities – backdoor, keylogging, rootkits,. Logic bombs, time-bombs. 2012 . IEEE/IPSJ 12. th. . International . Symposium on Applications and the . Internet. 102062596 . 陳盈妤. 1. /10. Outline. Introduction of proposed method. Previous works by catching random behavior. 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. 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%. 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 . with . DroidRide. : And How Not To. Min Huang, Kai Bu, . Hanlin. Wang, . Kaiwen. Zhu. Zhejiang University. CyberC. 2016. Reviving Android Malware. with . DroidRide. : And How Not To. ?. Reviving Android Malware. Erdal Ozkaya . Raymond Comvalius. CISO . Infrastructure Architect. Emt. Holding . NEXTXPERT. Module Agenda. First response at a malware attack. Recognizing. malware. Identifying. Spam:. Spam is unsolicited or undesired electronic junk mail. Characteristics of spam are:. Mass . mailing to large number of recipients. Usually a commercial advertisement. Annoying but usually harmless unless coupled with a fraud based phishing scam . Outline. Introduction. Types . of Malware. Malware examples. How . Malware Spreads. Prevention. AndroRAT. Hands-on Lab. Introduction. Mobile Security has become a fast growing issue. Nearly 100,000 new malicious programs for mobile devices were detected in 2013 (Kaspersky Lab). and. Content Theft & Malware . Investigative Findings. 30%. 11.8. MILLION. U.S. users exposed to malware each month by sites in the sample content theft group. 1 in 3 content theft sites exposed users to malware . Based on slides from Computer Security: Principles and Practices by William Stallings and Lawrie Brown. CSC230: C and Software Tools © NC State University Computer Science Faculty. 1. Malware. [SOUP13] defines malware as:. kindly visit us at www.examsdump.com. Prepare your certification exams with real time Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you learning materials to help you to pass your exams from the first try. Professionally researched by Certified Trainers,our preparation materials contribute to industryshighest-99.6% pass rate among our customers.Just like all our exams. In an era where on the internet safety and security and privacy are paramount, locating the right tools to