Defending against sensor-sniffing attacks on mobile phones

  • Authors:
  • Liang Cai;Sridhar Machiraju;Hao Chen

  • Affiliations:
  • University of California Davis, Davis, CA, USA;Sprint Applied Research, Burlingame, CA, USA;University of California Davis, Davis, CA, USA

  • Venue:
  • Proceedings of the 1st ACM workshop on Networking, systems, and applications for mobile handhelds
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Modern mobile phones possess three types of capabilities: computing, communication, and sensing. While these capabilities enable a variety of novel applications, they also raise serious privacy concerns. We explore the vulnerability where attackers snoop on users by sniffing on their mobile phone sensors, such as the microphone, camera, and GPS receiver. We show that current mobile phone platforms inadequately protect their users from this threat. To provide better privacy for mobile phone users, we analyze desirable uses of these sensors and discuss the properties of good privacy protection solutions. Then, we propose a general framework for such solutions and discuss various possible approaches to implement the framework's components.