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

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...

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Vydané v:	IEEE transactions on information forensics and security Ročník 14; číslo 6; s. 1455 - 1470
Hlavní autori:	Haipeng Cai, Na Meng, Ryder, Barbara, Yao, Daphne
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
ISSN:	1556-6013, 1556-6021
On-line prístup:	Získať plný text
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