Analyzing Android Encrypted Network Traffic to Identify User Actions

@article{Conti2016AnalyzingAE,
  title={Analyzing Android Encrypted Network Traffic to Identify User Actions},
  author={Mauro Conti and Luigi V. Mancini and Riccardo Spolaor and Nino Vincenzo Verde},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2016},
  volume={11},
  pages={114-125}
}
Mobile devices can be maliciously exploited to violate the privacy of people. In most attack scenarios, the adversary takes the local or remote control of the mobile device, by leveraging a vulnerability of the system, hence sending back the collected information to some remote web service. In this paper, we consider a different adversary, who does not interact actively with the mobile device, but he is able to eavesdrop the network traffic of the device from the network side (e.g., controlling… CONTINUE READING
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  • We built a complete implementation of this system, and we also run a thorough set of experiments, which show that our attack can achieve accuracy and precision higher than 95%, for most of the considered actions.

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Random Forests

Machine Learning • 2001
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