DroidCat: Effective Android Malware Detection and Categorization via App-Level Profiling

• Published in: IEEE transactions on information forensics and security Vol. 14; no. 6; pp. 1455 - 1470
• Main Authors: Haipeng Cai, Na Meng, Ryder, Barbara, Yao, Daphne
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Android; categorization; Classification; Communications systems; Cybersecurity; detection; dynamic analysis; Feature extraction; Libraries; Malware; obfuscation; profiling; Robustness; Security; stability; Stability analysis; State of the art; Static analysis

Most existing Android malware detection and categorization techniques are static approaches, which suffer from evasion attacks, such as obfuscation. By analyzing program behaviors, dynamic approaches are potentially more resilient against these attacks. Yet existing dynamic approaches mostly rely on...