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Secret Hiding and Retrieval Techniques for Digital Media 機密訊息在數位媒體中的隱藏及擷取技術之研究

Secret Hiding and Retrieval Techniques for Digital Media 機密訊息在數位媒體中的隱藏及擷取技術之研究. Advisor: Chin-Chen Chang 1, 2 Student: Yi-Hui Chen 2 1 Dept. of Information Engineering and Computer Science, Feng Chia University

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Secret Hiding and Retrieval Techniques for Digital Media 機密訊息在數位媒體中的隱藏及擷取技術之研究

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  1. Secret Hiding and Retrieval Techniques for Digital Media機密訊息在數位媒體中的隱藏及擷取技術之研究 Advisor: Chin-Chen Chang1, 2 Student: Yi-Hui Chen2 1 Dept. of Information Engineering and Computer Science, Feng Chia University 2 Dept. of Computer Science and Information Engineering, National Chung Cheng University

  2. Outline • Part I: Secrets Hiding for Digital Images • Image Steganography • LSB-based High-Capacity Data Embedding Scheme for Images • Part II: Secrets Hiding for Compression Codes • Joint Coding and Embedding Techniques for Multimedia Images

  3. Part I : Secrets Hiding for Digital Images • LSB-based High-Capacity Data Embedding Scheme for Images

  4. Secrets Image Steganography Secrets Internet Sender ‧Steganography - Prison Problem ‧Quality, Capacity and Security Receiver

  5. Alice Bob Warden Prison Problem Escape

  6. Zhang and Wang’s Method n = 2 Hiding capacity = log2(2n+1) ≒ 2.32

  7. Proposed Scheme (1/5) n = 2 Hiding capacity = log2(3n) ≒ 3.17

  8. Steganography (2/5) n=2 a1 a2 50 51 F(50, 51)=50×1+51×3 mod 9 = 5 F(0, 1)=0×1+1×3 mod 9 =3 0 1 S = 3, 2 (0≦S <3n) p=(3-5+(9-1)/2) mod 9 =2 p=(2-3+(9-1)/2) mod 9 =3

  9. 50+(1) = 51 51+(-1)= 50 0+(-1)=-1 1+(0)=1 Steganography (3/5) a1 a2 50 51 51 50 0 1 Minus (1)3(1)3 p=2=(02)3 (-11)3 Minus (1)3(1)3 (0 -1)3 p=3=(10)3

  10. a1 a1 a2 a2 51 51 50 50 1 2 0 1 Steganography (4/5) a1 a2 51 50 0 1 F(1, 1)=1×1+1×3 mod 9 = 4 p=(2-4+(9-1)/2) mod 9 =2 1+(1)=2 Minus (1)3(1)3 (-1 1)3 p=2=(02)3 1+(-1)=0

  11. a1 a2 51 50 2 0 Steganography (5/5) F(51, 50)=51×1+50×3 mod 9 = 3 F(0, 1)=2×1+0×3 mod 9 =2

  12. Experiments (1/4) [16] Chang, C. C. and Tseng, H. W., “A Steganographic Method for Digital Images Using Side Match,” Pattern Recognition Letters, Vol. 25, No. 10, pp. 1431-1437, 2004. [46] Mielikainen, J., “LSB Matching Revisited,” IEEE Signal Processing Letters, Vol. 13, No. 5, pp. 285-287, 2006. [58] Wang, C. M., Wu, N. I., Tsai, C. S. and Hwang, M. S., “A High Quality Steganographic Method with Pixel-Value Differencing and Modulus Function,” Journal of Systems and Software, Vol. 81, No. 1, pp. 150-158, 2008. [60] Wu, D. C. and Tsai, W. H., “A Steganographic Method for Images by Pixel-Value Differencing,” Pattern Recognition Letters, Vol. 24, No. 9-10, pp. 1613-1626, 2003.

  13. Experiments (2/4) Guillermito, Chi-square Steganography Test Program, available at http://www.guillermito2.net/stegano/tools/index.html.

  14. Experiments (3/3)

  15. Experiments (4/4) p≦0.5 Fridrich, J., Goljan, M. and Du, R., “Detecting LSB Steganography in Color and Gray-Scale Images,” Magazine of IEEE Multimedia, Special Issue on Security, 8(4), pp. 22~28, 2001.

  16. Part II : Secret Hiding for Compression Codes • Joint Coding and Embedding Techniques for Multimedia Images

  17. Introduction Reconstructed image Compression code 1000011010… Secret data: 011 • Information hiding Sender Receiver Compression code: 1000011010… Digital Image Secret data: 011 17

  18. i VQ Squared Euclidean distance • Vector Quantization (VQ) • Overview: X Reconstructed Image 512

  19. Seed Block Seed Block Residual Block Side Match VQ (SMVQ) • Assumption: Neighboring pixel intensities in an image are prettysimilar.

  20. X = (81, 15, 53, 34, 51,?, ?, ?, 91, ?, ?, ?, 49,?, ?, ?) Codebook(512) State codebook(8)

  21. THSMVQ Proposed scheme (1/3) Bit=0

  22. Proposed scheme (2/3) var(L)+var(U) <THvar Clustering result Bit=0

  23. Proposed scheme (3/3) Clustering result

  24. Experiments (1/3) [9] Chang, C. C. and Wu, W. C., “A Steganographic Method for Hiding Secret Data Using Side Match Vector Quantization,” IEICE Transactions on Information and Systems, Vol. E88-D, No. 9, pp. 2159-2167, Sep. 2005. [33] Jo, M., and Kim, H. D., “A Digital Image Watermarking Scheme Based on Vector Quantisation,” IEICE Transactions on Information and Systems, Vol. E85-D, No. 6, pp. 1054-1056, 2002.

  25. Scheme-1 Scheme-2

  26. Bit rate (0.56 bpp) and the similar capacity (16 kilobits)

  27. Further Works • Secrets data hiding • No extra indicator need to store • Other digital media • Text-based document • Audios

  28. Thanks for your attention

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