Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (7): 1-8.doi: 10.3969/j.issn.1000-565X.2014.07.001

• Computer Science & Technology •     Next Articles

Simplification and Analysis of Counter- Attack Algorithm for Image Source Identification

Hu Yong- jian Guan Hua Zhao Jing Liu Bei- bei   

  1. School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2013-12-17 Revised:2014-05-08 Online:2014-07-25 Published:2014-06-01
  • Contact: 胡永健(1962-)，男，教授，博士生导师，主要从事多媒体信息安全、图像处理以及模式识别研究． E-mail:eeyjhu@scut.edu.cn
  • About author:胡永健(1962-)，男，教授，博士生导师，主要从事多媒体信息安全、图像处理以及模式识别研究．
  • Supported by:

    国家 “973” 计划项目(2011CB707003);国家自然科学基金专项基金项目(61327005);华南理工大学中央高校基本科研业务费专项资金资助项目(2014ZZ0036)

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Abstract:

Considering the image source identification algorithm based on the camera fingerprint and the imaging sen-sor pattern noise to be easily attacked by fingerprint- copy operation,this paper simplifies the triangle test algorithmwhich is a counter- attack algorithm against the fingerprint- copy operation,that is,the attenuation factor for eachblock is set as a constant,thus reducing calculation time.Then,the performance of the counter- attack algorithm isdiscussed in detail from four aspects,namely,the addition manner of sensor pattern noise,the image content,theway of extracting sensor pattern noise and the number of illegally- used images.Finally,according to the experimentalresults,this paper points out that all the four aspects can affect the success rate of the counter- attack algorithm.Inaddition,the degree and scope of effect caused by the above- mentioned factors are also explored.

Key words: cameras, digital image forensics, image source identification, sensor pattern noise, counter- forensics, counter counter- forensics