Lightweight, Obfuscation-Resilient Detection and Family Identification of Android Malware
Abstract
The number of malicious Android apps is increasing rapidly. Android malware can damage or alter other files or settings, install additional applications, and so on. To determine such behaviors, a security analyst can significantly benefit from identifying the family to which an Android malware belongs rather than only detecting if an app is malicious. Techniques for detecting Android malware, and determining their families, lack the ability to handle certain obfuscations that aim to thwart detection. Moreover, some prior techniques face scalability issues, preventing them from detecting malware in a timely manner.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 31, 2017
- Source ID
- 10.1145/3162625
Entities
People
- Joshua Garcia
- Mahmoud Hammad
- Sam Malek
Organizations
- Air Force Office of Scientific Research
- National Science Foundation
- United States Department of Homeland Security
- University of California