PIndroid: A novel Android malware detection system using ensemble learning

The extensive usage of smartphones has been the major driving force behind a drastic increase of new security threats. The stealthy techniques used by malware make them hard to detect with signature based intrusion detection and anti-malware methods. In this paper, we present PIndroid|a novel Permis...

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Bibliographic Details
Main Authors: Fauzia Idrees, Muttukrishnan Rajarajan, Mauro Conti, Yogachandran Rahulamathavan, Tom Chen
Format: Default Article
Published: 2017
Subjects:
Malware classification
Permissions
Intents
Ensemble methods
Colluding applications
Online Access:https://hdl.handle.net/2134/24695
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https://hdl.handle.net/2134/24695

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