DocumentCode
1797350
Title
Static detection of Android malware by using permissions and API calls
Author
Chan, Patrick P. K. ; Wen-Kai Song
Author_Institution
Dept. of Comput. Sci. & Technol., South China Univ. of Technol., Guangzhou, China
Volume
1
fYear
2014
fDate
13-16 July 2014
Firstpage
82
Lastpage
87
Abstract
Android smart phones have become more and more popular due to its increasing functionalities, compatibility and convenience. More and more Android applications have been developed and can be downloaded easily from app markets. However, Android malwares have increased significantly in recent years. In this paper, we proposed a feature set containing the permissions and API calls for Android malware static detection. Classifiers that used the proposed feature set outperform those only with the permissions experimentally. It showed that the information of API calls is helpful in recognizing Android malware.
Keywords
Android (operating system); application program interfaces; invasive software; pattern classification; smart phones; API calls; Android applications; Android malware recognition; Android malware static detection; Android smart phones; classifiers; feature set; permissions; Abstracts; Analytical models; IEEE 802.11 Standards; Malware; Smart phones; API calls; Android malware; Permissions; Smart phones;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location
Lanzhou
ISSN
2160-133X
Print_ISBN
978-1-4799-4216-9
Type
conf
DOI
10.1109/ICMLC.2014.7009096
Filename
7009096
Link To Document