International Journal of Science, Engineering and Computer Technology

Balkar Singh ¹

Affiliations
1 Department of CSE, Guru Jambheshwar University of Science & Technology, Hisar, Haryana, IN

Abstract

In this paper we presented three steganalysis techniques which are developed using statistical properties of an image. When secret data is hidden in an image, the statistical properties like variance, correlation, entropy, (Peak Signal to Noise Ratio) PSNR, and (Mean Square Error) MSB are changed due to the hidden secret data. We have used these quantitative measures to detect whether any secret data is present in the image or not. Using a statistical approach, we investigated the inherent detectability of several commonly used steganography techniques to check the performance of proposed steganalysis approaches.

Keywords

Statistical Approaches, Digital Image Steganalysis.

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Balkar Singh ¹

Affiliations
1 Guru Jambheshwar University of Science & Technology, Hisar, Haryana, IN

Abstract

Steganography is the art and science of concealing information in unremarkable cover media so as not to stimulate an eavesdropper's suspicion. This is an application under information security field and focuses on capacity. In this paper we propose a new image steganography technique which embeds a secret image in high frequency domains resulted from Discrete Wavelet Transform. Embedding of image is accomplished on byte level, while maintaining good visual quality of stego image. Coefficients in the low frequency sub-band are unaltered to retain the image quality.

Keywords

Discrete Wavelet Transform, Security, Steganography, Byte Wise Embedding.

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