Droid-Sec: Deep learning in Android malware detection

SIGCOMM 2014 - Proceedings of the 2014 ACM Conference on Special Interest Group on Data Communication

Volumn , Issue , 2014, Pages 371-372

  Yuan, Zhenlong ^b   Lu, Yongqiang ^a   Wang, Zhaoguo ^d   Xue, Yibo ^b,c  

^a BAIDU INC   (China)

^b TSINGHUA UNIVERSITY   (China)

^c TSINGHUA NATIONAL LABORATORY FOR INFORMATION SCIENCE AND TECHNOLOGY   (China)

^d HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

android malware; deep learning; detection

Indexed keywords

COMPUTER CRIME; CONVOLUTIONAL CODES; ERROR DETECTION; MALWARE; MOBILE DEVICES; STATIC ANALYSIS;

ANDROID APPLICATIONS; ANDROID MALWARE; ANDROID PLATFORMS; COMPARISON OF MODELS; DEEP LEARNING; MALWARE DETECTION; MOBILE MALWARE; NETWORK SECURITY AND PRIVACY;

ANDROID (OPERATING SYSTEM);

EID: 84907310376     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2619239.2631434     Document Type: Conference Paper

References (3)

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3. Y. Zhou and X. Jiang. Dissecting android malware: characterization and evolution. In IEEE S&P'12, pages 95-109, 2012.