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Forensics in Telecommunications, Information and Multimedia. Second International Conference, e-Forensics 2009, Adelaide, Australia, January 19-21, 2009, Revised Selected Papers

Research Article

Decomposed Photo Response Non-Uniformity for Digital Forensic Analysis

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  • @INPROCEEDINGS{10.1007/978-3-642-02312-5_19,
        author={Yue Li and Chang-Tsun Li},
        title={Decomposed Photo Response Non-Uniformity for Digital Forensic Analysis},
        proceedings={Forensics in Telecommunications, Information and Multimedia. Second International Conference, e-Forensics 2009, Adelaide, Australia, January 19-21, 2009, Revised Selected Papers},
        proceedings_a={E-FORENSICS},
        year={2012},
        month={5},
        keywords={Digital forensics PRNU noise pattern integrity verification source device identification},
        doi={10.1007/978-3-642-02312-5_19}
    }
    
  • Yue Li
    Chang-Tsun Li
    Year: 2012
    Decomposed Photo Response Non-Uniformity for Digital Forensic Analysis
    E-FORENSICS
    Springer
    DOI: 10.1007/978-3-642-02312-5_19
Yue Li1,*, Chang-Tsun Li1,*
  • 1: University of Warwick
*Contact email: yxl@dcs.warwick.ac.uk, ctli@dcs.warwick.ac.uk

Abstract

The last few years have seen the applications of Photo Response Non-Uniformity noise (PRNU) - a unique stochastic fingerprint of image sensors, to various types of digital forensic investigations such as source device identification and integrity verification. In this work we proposed a new way of extracting PRNU noise pattern, called Decomposed PRNU (DPRNU), by exploiting the difference between the andcolor components of the photos taken by digital cameras that use a Color Filter Array for interpolating components from ones. Experimental results presented in this work have shown the superiority of the proposed DPRNU to the commonly used version. We also proposed a new performance metrics, Corrected Positive Rate (CPR) to evaluate the performance of the common PRNU and the proposed DPRNU.

Keywords
Digital forensics PRNU noise pattern integrity verification source device identification
Published
2012-05-11
http://dx.doi.org/10.1007/978-3-642-02312-5_19
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