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)
Url : http://dx.doi.org/10.1007/978-3-319-23036-8_48
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, cyber Security, Mathematics
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.