DocumentCode
156723
Title
A Two-Layered Permission-Based Android Malware Detection Scheme
Author
Xing Liu ; Jiqiang Liu
Author_Institution
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
fYear
2014
fDate
8-11 April 2014
Firstpage
142
Lastpage
148
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.
Keywords
Android (operating system); access control; invasive software; smart phones; Android malware detection scheme; malware detection rate; permission-based access control mechanism; two-layered permission based detection scheme; Androids; Decision trees; Feature extraction; Humanoid robots; Malware; Smart phones; Vectors; Android permission; machine learning; malware detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2014 2nd IEEE International Conference on
Conference_Location
Oxford
Type
conf
DOI
10.1109/MobileCloud.2014.22
Filename
6834956
Link To Document