Optimal Image Steganography Content Destruction Techniques

Author:

Ameen Siddeeq Y.1,Al-Badrany Muthana R.2

Affiliation:

1. College of Electronics Engineering University of Mosul Mosul, Iraq

2. College of Engineering University of Mosul Mosul, Iraq

Abstract

The paper presents two approaches for destroying steganogrphy content in an image. The first is the overwriting approach where a random data can be written again over steganographic images whereas the second approach is the denoising approach. With the second approach two kinds of destruction techniques have been adopted these are filtering and discrete wavelet techniques. These two approaches have been simulated and evaluated over two types of hiding techniques, Least Significant Bit LSB technique and Discrete Cosine Transform DCT technique. The results of the simulation show the capability of both approaches to destroy the hidden information without any alteration to the cover image except the denoising approach enhance the PSNR in any received image even without hidden information by an average of 4dB.

Publisher

North Atlantic University Union (NAUN)

Subject

Literature and Literary Theory,History,Cultural Studies

Reference15 articles.

1. M. K. Sharma, and P. C. Gupta, '' A Comparative Study of Steganography and Watermarking'', International Journal of Research in IT & Management (IJRIM), Volume 2, Issue 2, pp. 2231-4334, February, 2012.

2. S. Voloshynovskiy et-al, ''StegoWall: Blind Statistical Detection of Hidden Data'', Proc. SPIE 4675, Security and Watermarking of Multimedia Contents IV, 57 (April 29, 2002.

3. F. Al-Naima, S. Y. Ameen, and A. F. Al-Saad, ''Destroying Steganography Content in Image Files'', The 5th International Symposium on Communication Systems, Networks and DSP (CSNDSP’06), Greece, 2006..

4. I. S. Moskowitz, P. A. Lafferty, and F. Ahmed, ''Stego Scrubbing A New Direction for Image Steganography'', IEEE SMC Information Assurance and Security Workshop, IAW '07, 2007.

5. W. Jamieson, ''Destruction of Steganography: Targeting the Least Significant Bit in 24 bit Images'', http://www.emich.edu/ia/pdf/research/pdf

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