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Contrasting permission patterns between clean and malicious android applications

chapter
posted on 2013-01-01, 00:00 authored by Veelasha Moonsamy, Jia Rong, Shaowu Liu, Gang LiGang Li, Lynn BattenLynn Batten
The Android 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 required and used 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.

History

Title of book

Security and privacy in communication networks

Series

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; v.127

Chapter number

5

Pagination

69 - 85

Publisher

Springer International Publishing

Place of publication

Berlin, Germany

ISBN-13

9783319042831

ISBN-10

3319042831

Language

eng

Notes

This paper was presented at the International Conference on Security and Privacy in Communication Networks (9th : 2013 : Sydney, NSW)

Publication classification

B1 Book chapter; B Book chapter

Copyright notice

2013, Springer

Extent

26

Editor/Contributor(s)

T Zia, A Zomaya, V Varadharajan, M Mao