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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4799-4216-9
DOI :
10.1109/ICMLC.2014.7009096