A Classifier of Malicious Android Applications

  • Authors:
  • Gerardo Canfora;Francesco Mercaldo;Corrado Aaron Visaggio

  • Affiliations:
  • -;-;-

  • Venue:
  • ARES '13 Proceedings of the 2013 International Conference on Availability, Reliability and Security
  • Year:
  • 2013

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Abstract

Malware for smart phones is rapidly spreading out. This paper proposes a method for detecting malware based on three metrics, which evaluate: the occurrences of a specific subset of system calls, a weighted sum of a subset of permissions that the application required, and a set of combinations of permissions. The experimentation carried out suggests that these metrics are promising in detecting malware, but further improvements are needed to increase the quality of detection.