Corpus ID: 12232217

Smartphone Fingerprinting Via Motion Sensors: Analyzing Feasiblity at Large-Scale and Studing Real Usage Patterns

@article{Das2016SmartphoneFV,
  title={Smartphone Fingerprinting Via Motion Sensors: Analyzing Feasiblity at Large-Scale and Studing Real Usage Patterns},
  author={A. Das and N. Borisov and Edward Chou and M. Mughees},
  journal={ArXiv},
  year={2016},
  volume={abs/1605.08763}
}
  • A. Das, N. Borisov, +1 author M. Mughees
  • Published 2016
  • Computer Science
  • ArXiv
  • Advertisers are increasingly turning to fingerprinting techniques to track users across the web. As web browsing activity shifts to mobile platforms, traditional browser fingerprinting techniques become less effective; however, device fingerprinting using built-in sensors offers a new avenue for attack. We study the feasibility of using motion sensors to perform device fingerprinting at scale, and explore countermeasures that can be used to protect privacy. We perform a large-scale user study… CONTINUE READING

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