KSII Transactions on Internet and Information Systems (TIIS)

  • 제6권8호
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  • Pages.1926-1945
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  • 2012
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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Forensics Aided Steganalysis of Heterogeneous Bitmap Images with Different Compression History

  • Hou, Xiaodan (Zhengzhou Information Science and Technology Institute) ;
  • Zhang, Tao (Zhengzhou Information Science and Technology Institute) ;
  • Xiong, Gang (Zhengzhou Information Science and Technology Institute) ;
  • Wan, Baoji (Zhengzhou Information Science and Technology Institute)
  • 투고 : 2012.06.04
  • 심사 : 2012.08.16
  • 발행 : 2012.08.25
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초록

In this paper, two practical forensics aided steganalyzers (FA-steganalyzer) for heterogeneous bitmap images are constructed, which can properly handle steganalysis problems for mixed image sources consisting of raw uncompressed images and JPEG decompressed images with different quality factors. The first FA-steganalyzer consists of a JPEG decompressed image identifier followed by two corresponding steganalyzers, one of which is used to deal with uncompressed images and the other is used for mixed JPEG decompressed images with different quality factors. In the second FA-steganalyzer scheme, we further estimate the quality factors for JPEG decompressed images, and then steganalyzers trained on the corresponding quality factors are used. Extensive experimental results show that the proposed two FA-steganalyzers outperform the existing steganalyzer that is trained on a mixed dataset. Additionally, in our proposed FA-steganalyzer scheme, we can select the steganalysis methods specially designed for raw uncompressed images and JPEG decompressed images respectively, which can achieve much more reliable detection accuracy than adopting the identical steganalysis method regardless of the type of cover source.

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참고문헌

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피인용 문헌

  1. Detection for Operation Chain: Histogram Equalization and Dither-like Operation vol.9, pp.9, 2012, https://doi.org/10.3837/tiis.2015.09.026
  2. Steganalysis aided by fragile detection of image manipulations vol.78, pp.16, 2012, https://doi.org/10.1007/s11042-019-7654-9