Robotdroid: A lightweight malware detection framework on smartphones

Journal of Networks

Volumn 7, Issue 4, 2012, Pages 715-722

  Zhao, Min ^a   Zhang, Tao ^a   Ge, Fangbin ^a   Yuan, Zhijian ^a  

^a PLA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Active learning; Android; Malware detection; Smartphone security

Indexed keywords

ACCESS CONTROL MECHANISM; ACTIVE LEARNING; ACTIVE-LEARNING ALGORITHM; ANDROID; ATTACK TARGET; FALSE NEGATIVES; FALSE POSITIVE; HIGH DETECTION RATE; LOW RATES; MALICIOUS SOFTWARE; MALWARE DETECTION; MALWARES; MIXED SAMPLES; MULTIMEDIA PROCESSING; OPEN-SOURCE; ORIGINAL SYSTEMS; PERFORMANCE IMPACT; RUNTIMES; SOFTWARE BEHAVIOR; UNLABELED SAMPLES;

ACCESS CONTROL; CLASSIFICATION (OF INFORMATION); LEARNING ALGORITHMS; ROBOTS; SAFETY FACTOR; SIGNAL ENCODING; SMARTPHONES;

COMPUTER CRIME;

EID: 84860281488     PISSN: 17962056     EISSN: None     Source Type: Journal    
DOI: 10.4304/jnw.7.4.715-722     Document Type: Article

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