Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4955468 | Computers & Security | 2017 | 11 Pages |
Abstract
The extensive use of smartphones has been a major driving force behind a drastic increase of malware attacks. Covert techniques used by the malware make them hard to detect with signature based methods. In this paper, we present PIndroid - a novel Permissions and Intents based framework for identifying Android malware apps. To the best of our knowledge, PIndroid is the first solution that uses a combination of permissions and intents supplemented with Ensemble methods for accurate malware detection. The proposed approach, when applied to 1,745 real world applications, provides 99.8% accuracy (which is best reported to date). Empirical results suggest that the proposed framework is effective in detection of malware apps.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Fauzia Idrees, Muttukrishnan Rajarajan, Mauro Conti, Thomas M. Chen, Yogachandran Rahulamathavan,