Research Article
Contrasting Permission Patterns between Clean and Malicious Android Applications
@INPROCEEDINGS{10.1007/978-3-319-04283-1_5, author={Veelasha Moonsamy and Jia Rong and Shaowu Liu and Gang Li and Lynn Batten}, title={Contrasting Permission Patterns between Clean and Malicious Android Applications}, proceedings={Security and Privacy in Communication Networks. 9th International ICST Conference, SecureComm 2013, Sydney, NSW, Australia, September 25-28, 2013, Revised Selected Papers}, proceedings_a={SECURECOMM}, year={2014}, month={6}, keywords={Android Permission Malware Detection Contrast Mining Permission Pattern}, doi={10.1007/978-3-319-04283-1_5} }- Veelasha Moonsamy
Jia Rong
Shaowu Liu
Gang Li
Lynn Batten
Year: 2014
Contrasting Permission Patterns between Clean and Malicious Android Applications
SECURECOMM
Springer
DOI: 10.1007/978-3-319-04283-1_5
Abstract
The platform uses a permission system model to allow users and developers to regulate access to private information and system resources required by applications. Permissions have been proved to be useful for inferring behaviors and characteristics of an application. In this paper, a novel method to extract contrasting permission patterns for clean and malicious applications is proposed. Contrary to existing work, both and permissions were considered when discovering the patterns. We evaluated our methodology on a clean and a malware dataset, each comprising of 1227 applications. Our empirical results suggest that our permission patterns can capture key differences between clean and malicious applications, which can assist in characterizing these two types of applications.
