New Android malware detection approach using Bayesian classification

Proceedings - International Conference on Advanced Information Networking and Applications, AINA

Volumn , Issue , 2013, Pages 121-128

  Suleiman, Yerima ^a   Sezer, Sakir ^a   McWilliams, Gavin ^a   Muttik, Igor ^b  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^b McAfee Labs   (United Kingdom)

Author keywords

Android; Bayesian classification; Data mining; Machine learning; Malware detection; Mobile security; Static analysis

Indexed keywords

ANDROID; BAYESIAN CLASSIFICATION; BAYESIAN CLASSIFICATION MODELS; EFFECTIVE APPROACHES; MALICIOUS ACTIVITIES; MALWARE DETECTION; MOBILE SECURITY; STATIC CODE ANALYSIS;

COMPUTER CRIME; DATA MINING; LEARNING SYSTEMS; ROBOTS;

STATIC ANALYSIS;

EID: 84881033715     PISSN: 1550445X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AINA.2013.88     Document Type: Conference Paper

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