Shafiq awarded NSF grant to improve mobile security and privacy

Monday, September 10, 2018 - 1:58pm

Assistant Professor Zubair Shafiq was recently awarded an NSF Grant entitled "A Multi-Layer Learning Approach to Mobile Traffic Filtering." The objective of this project is to "defend against [...] abuses in the mobile ecosystem through real-time on-device filtering of network traffic on a mobile device."

Three case studies will validate the research framework against the following abuse scenarios in the mobile ecosystem:

  1. intrusive ads
  2. privacy leaks
  3. malvertising

This three-year project, which has been awarded $250,000, is excepted to enhance the usability, privacy, and security of the mobile ecosystem and will inform policies and practices on mobile data transparency.

 

Unabridged award abstract may be found here.