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Steganalysis of LSB Using Energy Function

Publication Type : Book Chapter

Thematic Areas : TIFAC-CORE in Cyber Security

Publisher : Intelligent Systems Technologies and Applications.

Source : Intelligent Systems Technologies and Applications: Volume 1, Springer International Publishing, Cham, p.549–558 (2016)

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Keywords : Gibbs distribution, Markov random field, Steganalysis, Steganography

Campus : Amritapuri, Coimbatore

School : Centre for Cybersecurity Systems and Networks, School of Engineering

Center : TIFAC CORE in Cyber Security

Department : Computer Science, Mathematics, cyber Security

Year : 2016

Abstract : This paper introduces an approach to estimate energy of pixel associated with its neighbors. We define an energy function of a pixel which replaces the pixel value by mean or median value of its neighborhood. The correlations inherent in a cover signal can be used for steganalysis, i.e, detection of presence of hidden data. Because of the interpixel dependencies exhibited by natural images this function was able to differentiate between cover and stego image. Energy function was modeled using Gibbs distribution even though pixels in an image have the property of Markov Random Field. Our method is trained to specific embedding techniques and has been tested on different textured images and is shown to provide satisfactory result in classifying cover and stego using energy distribution.

Cite this Research Publication : P. P. Amritha, M. Muraleedharan, S., Rajeev, K., and Dr. M. Sethumadhavan, “Steganalysis of LSB Using Energy Function”, in Intelligent Systems Technologies and Applications: Volume 1, S. Berretti, M. Thampi, S., and Srivastava, R. Praveen, Eds. Cham: Springer International Publishing, 2016, pp. 549–558.

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