KSII Transactions on Internet and Information Systems (TIIS)

  • 제5권4호
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  • Pages.840-855
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  • 2011
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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Local Linear Transform and New Features of Histogram Characteristic Functions for Steganalysis of Least Significant Bit Matching Steganography

  • Zheng, Ergong (Zhengzhou Information Science and Technology Institute) ;
  • Ping, Xijian (Zhengzhou Information Science and Technology Institute) ;
  • Zhang, Tao (Zhengzhou Information Science and Technology Institute)
  • 투고 : 2010.09.28
  • 심사 : 2011.02.15
  • 발행 : 2011.04.29
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⟨ 이전 논문 다음 논문 ⟩

초록

In the context of additive noise steganography model, we propose a method to detect least significant bit (LSB) matching steganography in grayscale images. Images are decomposed into detail sub-bands with local linear transform (LLT) masks which are sensitive to embedding. Novel normalized characteristic function features weighted by a bank of band-pass filters are extracted from the detail sub-bands. A suboptimal feature set is searched by using a threshold selection algorithm. Extensive experiments are performed on four diverse uncompressed image databases. In comparison with other well-known feature sets, the proposed feature set performs the best under most circumstances.

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참고문헌

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피인용 문헌

  1. Detection of LSB Matching Revisited Using Pixel Difference Feature vol.7, pp.10, 2011, https://doi.org/10.3837/tiis.2013.10.011
  2. Quantitative steganalysis of spatial ±1 steganography in JPEG decompressed images vol.73, pp.3, 2011, https://doi.org/10.1007/s11042-013-1654-y