Permission-combination-based scheme for Android mobile malware detection

Shuang Liang, Xiaojiang Du

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

105 Scopus citations

Abstract

With the increase use of Android mobile phones, more Android malwares are being developed. Android malware detection becomes a crucial task. In this paper, we present a permission-combination-based scheme for Android malware detection. The Android malware detection scheme is based on permission combinations declared in the application manifest file. We obtain the permission combinations that are requested frequently by malwares but rarely by benign applications. We generate rule sets based on the permission combinations. Our experimental results show that the malware detection rate is up to 96%, and the benign application recognition rate is up to 88%. Our experimental results with real malwares show that the Android malware detection scheme is very efficient and effective.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Communications, ICC 2014
Pages2301-2306
Number of pages6
DOIs
StatePublished - 2014
Event2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia
Duration: 10 Jun 201414 Jun 2014

Publication series

Name2014 IEEE International Conference on Communications, ICC 2014

Conference

Conference2014 1st IEEE International Conference on Communications, ICC 2014
Country/TerritoryAustralia
CitySydney, NSW
Period10/06/1414/06/14

Keywords

  • Android
  • malware detection
  • mobile phone

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