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The detecting system of image forgeries with noise features and EXIF information

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Abstract

Recently, the digital image blind forensics technology has received an increasing attention in academic community. This paper aims at developing a new identification approach based on the statistical noise and exchangeable image file format (EXIF) information of image for images authentication. In particular, the authors can identify whether the current image has been modified or not by utilizing the relevance between noise and EXIF parameters and comparing the real values with the estimated values of the EXIF parameters. Experimental results validate the proposed method. That is, the detecting system can identify the doctored image effectively.

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Authors and Affiliations

  1. School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Xiaoting Sun & Yezhou Li

  2. Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Shaozhang Niu & Yanli Huang

Authors
  1. Xiaoting Sun
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  2. Yezhou Li
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  3. Shaozhang Niu
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  4. Yanli Huang
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Corresponding author

Correspondence to Xiaoting Sun.

Additional information

This work was supported by the National Natural Science Foundation of China under Grant Nos. 61370195 and 11101048, Beijing Natural Science Foundation under Grant No. 4132060, and the National Cryptography Development Foundation of China under Grant No. MMJJ201201002.

This paper was recommended for publication by Editor LÜ Jinhu.

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Sun, X., Li, Y., Niu, S. et al. The detecting system of image forgeries with noise features and EXIF information. J Syst Sci Complex 28, 1164–1176 (2015). https://doi.org/10.1007/s11424-015-4023-2

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  • DOI: https://doi.org/10.1007/s11424-015-4023-2

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