Malware Detection on Mobile Devices

作者: Asaf Shabtai

DOI: 10.1109/MDM.2010.28

关键词: Mobile deviceStatic analysisAndroid applicationEmbedded systemIntrusion detection systemComputer scienceMalwareAndroid (operating system)

摘要: We present various approaches for mitigating malware on mobile devices which we have implemented and evaluated Google Android. Our work is divided into the following three segments: a host-based intrusion detection framework; an implementation of SELinux in Android; static analysis Android application files.

参考文章(6)
Y Elovici, S Dolev, A Shabtai, U Kanonov, Y Fledel, Google Android: A State-of-the-Art Review of Security Mechanisms arXiv: Cryptography and Security. ,(2009)
Asaf Shabtai, Uri Kanonov, Yuval Elovici, Detection, Alert and Response to Malicious Behavior in Mobile Devices: Knowledge-Based Approach recent advances in intrusion detection. pp. 357- 358 ,(2009) , 10.1007/978-3-642-04342-0_23
Asaf Shabtai, Uri Kanonov, Yuval Elovici, Intrusion detection for mobile devices using the knowledge-based, temporal abstraction method Journal of Systems and Software. ,vol. 83, pp. 1524- 1537 ,(2010) , 10.1016/J.JSS.2010.03.046
A. Shabtai, Y. Fledel, U. Kanonov, Y. Elovici, S. Dolev, C. Glezer, Google Android: A Comprehensive Security Assessment ieee symposium on security and privacy. ,vol. 8, pp. 35- 44 ,(2010) , 10.1109/MSP.2010.2
Asaf Shabtai, Yuval Fledel, Yuval Elovici, Securing Android-Powered Mobile Devices Using SELinux ieee symposium on security and privacy. ,vol. 8, pp. 36- 44 ,(2010) , 10.1109/MSP.2009.144
Asaf Shabtai, Yuval Fledel, Yuval Elovici, Yuval Shahar, Using the KBTA method for inferring computer and network security alerts from time-stamped, raw system metrics Journal in Computer Virology. ,vol. 6, pp. 239- 259 ,(2010) , 10.1007/S11416-009-0125-5