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http://dx.doi.org/10.13089/JKIISC.2014.24.4.617

Efficient Malware Detector for Android Devices  

Lee, Hye Lim (Graduate School of Information Security, Korea University)
Jang, Soohee (Graduate School of Information Security, Korea University)
Yoon, Ji Won (Graduate School of Information Security, Korea University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.24, no.4, 2014 , pp. 617-624 More about this Journal
Abstract
Smart phone usage has increased exponentially and open source based Android OS occupy significant market share. However, various malicious applications that use the characteristic of Android threaten users. In this paper, we construct an efficient malicious application detector by using the principle component analysis and the incremental k nearest neighbor algorithm, which consider an required permission, of Android applications. The cross validation is exploited in order to find a critical parameter of the algorithm. For the performance evaluation of our approach, we simulate a real data set of Contagio Mobile.
Keywords
Android Security; Malware Detection; Principal Component Analysis; kNN-Classification;
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