1. AntMonitor: A System for Monitoring from Mobile Devices

Mobile devices play an essential role in the Internet today, and there is an increasing interest in using them as a vantage point for network measurement from the edge. At the same time, these personal devices store a lot of sensitive information, and there is a growth in the number of applications that leak it. We propose AntMonitor – the first system of its kind that (i) supports collection of large-scale, semantic-rich network traffic in a way that respects users’ privacy preferences and (ii) supports detection and prevention of leakage of private information in real time. The first property makes AntMonitor a powerful tool for network researchers who want to collect and analyze large-scale yet fine grained mobile measurements. The second property works as an incentive for users to use AntMonitor and contribute data for analysis. As a proof-of-concept, we have developed a prototype of AntMonitor and deployed it to monitor users for 2 months. We successfully collected and analyzed 20 GB of mobile data from 151 applications. Preliminary results show that fine-grained data collected from AntMonitor could enable application classification with higher accuracy than state-of-the-art approaches. In addition, we demonstrated that AntMonitor could help prevent several apps from leaking private information over unencrypted traffic, including phone numbers, emails, and device identifiers.

Publications

  • A. Shuba, A. Le, M. Gjoka, J. Varmarken, S. Langhoff, A. Markopoulou, “AntMonitor: A System for Mobile Traffic Monitoring and Real-Time Prevention of Privacy Leaks,” ACM Mobicom Demo, Paris, France, Sep 7-10, 2015.
  • A. Le, J. Varmarken, S. Langhoff, A. Shuba, M. Gjoka, A. Markopoulou, “AntMonitor: A System for Monitoring from Mobile Devices,” accepted to ACM SIGCOMM Workshop on Crowdsourcing and Crowdsharing of Big Internet Data (C2BID), London, UK, Aug. 17, 2015.

2. Graph Sampling

3. Graph Construction

4. Smart cities

5. Peer-to-peer networks