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Volumn 3, Issue , 2006, Pages 1866-1870

Spatial-frequency feature vector fusion based steganalysis

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DOMAIN DECOMPOSITION METHODS; FEATURE EXTRACTION; ROBUST CONTROL; SPATIAL VARIABLES MEASUREMENT; VECTOR QUANTIZATION;

EID: 34548119453     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2006.385002     Document Type: Conference Paper
Times cited : (5)

References (17)
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  • 2
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    • F5 - A Steganographic Algorithm: High Capacity Despite Better Steganalysis
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    • Westfeld, A.1
  • 3
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    • Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines
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    • Lyu, S.1    Farid, H.2
  • 4
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    • Steganalysis Using Color Wavelet Statistics and One-Class Support Vector Machines
    • S. Lyu and H. Farid, " Steganalysis Using Color Wavelet Statistics and One-Class Support Vector Machines," SPIE Symposium on Electronic Imaging, 2004.
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    • Lyu, S.1    Farid, H.2
  • 5
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    • Steganalysis of JPEG Images: Breaking the F5 Algorithm
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    • J. Fridrich, M. Goljan, and D. Hogea, "Steganalysis of JPEG Images: Breaking the F5 Algorithm," 5th Information Hiding Workshop, pp. 310-323, October 2002.
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  • 6
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    • New Methodology for Breaking Steganographic Techniques for JPEGs, Electronic Imaging 2003, Security and Watermarking of Multimedia Contents V
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    • J. Fridrich, M. Goljan, and D. Hogea, "New Methodology for Breaking Steganographic Techniques for JPEGs," Electronic Imaging 2003, Security and Watermarking of Multimedia Contents V, SPIE, vol. 5020, pp. 143-155, Jan 2003.
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    • Fridrich, J.1    Goljan, M.2    Hogea, D.3
  • 7
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    • J. Fridrich and M. Goljan, On Estimation of Secret Message Length in LSB Steganography in Spatial Domain, presented at SPIE, San Jose, CA, USA, Jan 2004.
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  • 8
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    • Feature-based steganalysis for JPEG images and its implications for future design of steganographic schemes
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    • th information hiding workshop,LNCS, vol. 3200, Springer-Verlag, pp. 67-81, 2004.
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  • 9
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    • New multilevel DCT, feature vectors, and universal blind steganalysis
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    • S. Agaian and H. Cai, "New multilevel DCT, feature vectors, and universal blind steganalysis," SPIE Symposium on Electronic Imaging 2005, San Jose, California, USA, 2005.
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  • 14
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    • Block effect reduction with content-based AC prediction in an MPEG-2 compressed video
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  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.