A New Steganalysis Approach Based on Both Complexity Estimate and Statistical Filter

The development of steganalysis technique becomes more and more important, because steganalysis could be used to detect the fact that terrorists are using steganography to hide their communication from law enforcement. In this paper, we study on the spatial nature difference between cover-images and stego-images, and present an effective approach used for steganography detection. The method we proposed is based on both statistical filter and estimate of bit-plane-complexity, and experimental results by the approach show that it could detect hiding fact more effectively, that is, reveal the facts that there is information embedded in the image.

[1]  D. Artz,et al.  Digital steganography: hiding data within data , 2001 .

[2]  Nasir D. Memon,et al.  A distributed detection framework for Steganalysis , 2000, MULTIMEDIA '00.

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

[4]  Jessica J. Fridrich,et al.  Detecting LSB Steganography in Color and Gray-Scale Images , 2001, IEEE Multim..

[5]  Niels Provos,et al.  Defending Against Statistical Steganalysis , 2001, USENIX Security Symposium.

[6]  Sushil Jajodia,et al.  Steganalysis: the investigation of hidden information , 1998, 1998 IEEE Information Technology Conference, Information Environment for the Future (Cat. No.98EX228).

[7]  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).

[8]  Miroslav Goljan,et al.  Steganalysis based on JPEG compatibility , 2001, SPIE ITCom.