PPT-RiskRanker : Scalable and Accurate Zero-day Android Malware Detection

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. 1 miles Android Malware Classification . Using Weighted . Contextual API Dependency . Graphs. Mu Zhang. Yue. . Duan. Heng. Yin. Zhiruo. Zhao. Department . of Electrical Engineering and . Computer Science. : Evaluating Android Anti-malware against Transformation . A. ttacks. Vaibhav . Rastogi. , . Yan Chen. , and . Xuxian. Jiang. 1. Lab for Internet and Security Technology, Northwestern University. †. Author : . Yajin. Zhou, . Xuxuan. Jiang. TJ. Index of this paper. Introduction. Malware Timeline. Malware Characterization. Malware Installation. Repackaging. Update Attack. Drive-by Download. Others. 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. : Evaluating Android Anti-malware against Transformation . A. ttacks. Vaibhav . Rastogi. , . Yan Chen. , and . Xuxian. Jiang. 1. Lab for Internet and Security Technology, Northwestern University. †. o. ‐day. . Android Malware Detection. Introduction/Motivation:. What was the main problem. . addressed?. . . . Mobile. . devices. . have become popular. . targets for malware. authors, threatening privacy, security, and finances.. 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 . Neelima. Krishnan. Gayathri. Subramanian. Introduction. Why is Android Security Important ? . Security Model in Android. What we proposed and What we did. Implementation Details . Results and Conclusion. A. ttacks. Vaibhav . Rastogi. , . Yan Chen. , and . Xuxian. Jiang. 1. Lab for Internet and Security Technology, Northwestern University. †. North Carolina State University. Android Dominance. Smartphone sales already exceed PC sales. Fenghao. Xu, . Siyu. Shen, . Wenrui. . Diao. , Zhou Li , Yi Chen , Rui Li, . Kehuan. Zhang. The Chinese University of Hong Kong, Shandong University, University of California, Irvine. 2021 ACM SIGSAC Conference on Computer and Communications Security.