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Forensics Aided Steganalysis of Heterogeneous Bitmap Images with Different Compression History
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  • Forensics Aided Steganalysis of Heterogeneous Bitmap Images with Different Compression History
  • Forensics Aided Steganalysis of Heterogeneous Bitmap Images with Different Compression History
저자명
Hou. Xiaodan,Zhang. Tao,Xiong. Gang,Wan. Baoji
간행물명
KSII Transactions on internet and information systems : TIIS
권/호정보
2012년|6권 8호|pp.1926-1945 (20 pages)
발행정보
한국인터넷정보학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

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.