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Volumn 20, Issue 1, 2011, Pages 102-109

A learning-based steganalytic method against LSB matching steganography

Author keywords

Communication security; Histogram gradient energy; Neighborhood degree histogram; Runlength histogram; Steganalysis; Support vector machine

Indexed keywords


EID: 79955965095     PISSN: 12102512     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (8)

References (23)
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  • 5
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  • 7
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  • 8
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    • Maximum likelihood estimation of length of secret message embedded using +/- K steganography in spatial domain
    • San Jose (USA, CA)
    • FRIDRICH, J., SOUKAL, D., GOLJAN, M. Maximum likelihood estimation of length of secret message embedded using +/- K steganography in spatial domain. In Proc. Security, Steganography, and Watermarking of Multimedia Contents VII. San Jose (USA, CA), 2005, p. 595-606.
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  • 11
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    • Image complexity and feature mining for steganalysis of least significant bit matching steganography
    • LIU, Q.Z., SUNG, A. H., RIBEIRO, B., WEI, M. Z., CHEN, Z. X., XU, J. Y. Image complexity and feature mining for steganalysis of least significant bit matching steganography. Information Sciences, 2008, vol. 178, no. 1, p. 21-36.
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    • Liu, Q.Z.1    Sung, A.H.2    Ribeiro, B.3    Wei, M.Z.4    Chen, Z.X.5    Xu, J.Y.6
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    • RLH: bitmap compression technique based on run-length and Huffman encoding
    • STABNO, M., WREMBEL, R. RLH: bitmap compression technique based on run-length and Huffman encoding. Information Systems, 2009, vol. 34, no. 4-5, p. 400-414.
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  • 18
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    • Feature-based steganalysis for JPEG images and its implications for future design of steganographic schemes
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.