NDLI: A Two-Layered Permission-Based Android Malware Detection Scheme

Content Provider	IEEE Xplore Digital Library
Author	Xing Liu Jiqiang Liu
Copyright Year	2014
Description	Author affiliation: Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China (Xing Liu; Jiqiang Liu)
Abstract	Android platform has become the main target of the malware developers in the past few years. One of Android's main defense mechanisms against malicious apps is a permission-based access control mechanism. It is a feasible approach to detect a potential malicious application based on the permissions it requested. In this paper, we proposed a two-layered permission based detection scheme for detecting malicious Android applications. Comparing with previous researches, we consider the apps requested permission pairs as the additional condition, and we also consider used permissions to improve detection accuracy. The result of an evaluation, performed using 28548 benign apps and 1536 malicious apps, indicates that a two-layered permission-based detector has high detection rate of malware.
Sponsorship	IEEE Comput. Soc.
Starting Page	142
Ending Page	148
File Size	404166
Page Count	7
File Format	PDF
ISBN	9781479944255
DOI	10.1109/MobileCloud.2014.22
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Android permission Humanoid robots Machine learning Feature extraction Malware Vectors Androids Decision trees Malware detection Smart phones
Content Type	Text
Resource Type	Article

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