Device temporal forensics: an information theoretic approach

  • Authors:
  • Junwen Mao;Orhan Bulan;Gaurav Sharma;Suprakash Datta

  • Affiliations:
  • ECE Dept., University of Rochester, Rochester, NY;ECE Dept., University of Rochester, Rochester, NY;ECE Dept., University of Rochester, Rochester, NY;CSE Dept., York University, Toronto, Canada

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

By formulating the problem of ordering the outputs observed from a device over time, we pose a new problem in forensics and propose a framework for addressing this problem of device temporal forensics. Our proposed framework is based on a two-stage approach wherein time-dependent device parameters are first estimated from observed outputs and the resulting estimates are then temporally ordered by employing a Markov model for the temporal evolution of device parameters and exploiting the data processing inequality in information theory. We demonstrate and evaluate a simple realization of the framework for digital camera forensics based on photoresponse non-uniformity. Results obtained over a database of online images indicate that the method provides accurate temporal ordering.