On the Need of Precise Inter-App ICC Classification for Detecting Android Malware Collusions*

نویسندگان

  • Karim O. Elish
  • Barbara G. Ryder
چکیده

Malware collusion is a new threat against Android application security. It refers to the scenario where two or more applications interact with each other to perform malicious tasks. Most existing solutions assume the attack model of a standalone malicious application, and thus cannot detect collusion. The objective of this position paper is to point out the need for practical solutions for detecting malware collusion. We show experimental evidence on the technical challenges associated with classifying benign Android inter-component communication (ICC) flows from colluding ones. We statically construct ICC Maps to capture pairwise communicating ICC channels of 2,644 real benign apps. We find that existing permission-based collusion-detection policies trigger a large number of false alerts in benign apps pairs.

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تاریخ انتشار 2015