Security Toolbox for Detecting Novel and Sophisticated Android Malware
April 07, 2015 Β· Declared Dead Β· π 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering
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Authors
Benjamin Holland, Tom Deering, Suresh Kothari, Jon Mathews, Nikhil Ranade
arXiv ID
1504.01693
Category
cs.CR: Cryptography & Security
Cross-listed
cs.HC
Citations
15
Venue
2015 IEEE/ACM 37th IEEE International Conference on Software Engineering
Last Checked
3 months ago
Abstract
This paper presents a demo of our Security Toolbox to detect novel malware in Android apps. This Toolbox is developed through our recent research project funded by the DARPA Automated Program Analysis for Cybersecurity (APAC) project. The adversarial challenge ("Red") teams in the DARPA APAC program are tasked with designing sophisticated malware to test the bounds of malware detection technology being developed by the research and development ("Blue") teams. Our research group, a Blue team in the DARPA APAC program, proposed a "human-in-the-loop program analysis" approach to detect malware given the source or Java bytecode for an Android app. Our malware detection apparatus consists of two components: a general-purpose program analysis platform called Atlas, and a Security Toolbox built on the Atlas platform. This paper describes the major design goals, the Toolbox components to achieve the goals, and the workflow for auditing Android apps. The accompanying video (http://youtu.be/WhcoAX3HiNU) illustrates features of the Toolbox through a live audit.
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