LSB steganalysis based on high-order statistics

We propose a general framework for the detection of the LSB steganography using digital media files as cover objects. The new framework exploits high-order statistics of the samples. It can compute a robust estimate of the length of a secret message hidden in the least significant bits of samples for a large class of digital media contents such as image, video and audio, in which the underlying signals consist of correlated samples. A case study on the LSB steganalysis of natural grey-scale and color images and experimental results are reported.

[1]  Jessica J. Fridrich,et al.  Quantitative steganalysis of digital images: estimating the secret message length , 2003, Multimedia Systems.

[2]  Andreas Pfitzmann,et al.  Attacks on Steganographic Systems , 1999, Information Hiding.

[3]  Rainer Böhme,et al.  Exploiting Preserved Statistics for Steganalysis , 2004, Information Hiding.

[4]  S. Katzenbeisser,et al.  A survey of steganographic techniques , .

[5]  Jessica J. Fridrich,et al.  Reliable detection of LSB steganography in color and grayscale images , 2001, MM&Sec '01.

[6]  Sushil Jajodia,et al.  Steganalysis of Images Created Using Current Steganography Software , 1998, Information Hiding.

[7]  Xiangyang Luo,et al.  An Improved Sample Pairs Method for Detection of LSB Embedding , 2004, Information Hiding.

[8]  Sorina Dumitrescu,et al.  Detection of LSB steganography via sample pair analysis , 2002, IEEE Trans. Signal Process..

[9]  Jessica J. Fridrich,et al.  Feature-Based Steganalysis for JPEG Images and Its Implications for Future Design of Steganographic Schemes , 2004, Information Hiding.

[10]  Jiri Fridrich,et al.  Steganalysis of LSB encoding in color images , 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

[11]  Andrew D. Ker Improved Detection of LSB Steganography in Grayscale Images , 2004, Information Hiding.