JHUF-5 steganalyzer: Huffman based steganalytic features for reliable detection of YASS in JPEG images

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Bhat, V.H. and Krishna, S. and Shenoy, P.D. and Venugopal, K.R. and Patnaik, L.M. (2010) JHUF-5 steganalyzer: Huffman based steganalytic features for reliable detection of YASS in JPEG images. In: Signal Processing and Multimedia. Communications in Computer and Information Science, 123 CC (123). Springer Berlin Heidelberg, Jeju Island, pp. 87-97. ISBN 978-3-642-17641-8

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Official URL: https://doi.org/10.1007/978-3-642-17641-8_12

Abstract

Yet Another Steganographic Scheme (YASS) is one of the recent steganographic schemes that embeds data at randomized locations in a JPEG image, to avert blind steganalysis. In this paper we present JHUF-5, a statistical steganalyzer wherein J stands for JPEG, HU represents Huffman based statistics, F denotes FR Index (ratio of file size to resolution) and 5 - the number of features used as predictors for classification. The contribution of this paper is twofold; first the ability of the proposed blind steganalyzer to detect YASS reliably with a consistent performance for several settings. Second, the algorithm is based on only five uncalibrated features for efficient prediction as against other techniques, some of which employs several hundreds of predictors. The detection accuracy of the proposed method is found to be superior to existing blind steganalysis techniques. © 2010 Springer-Verlag.

Item Type: Book Section
Additional Information: cited By 0; Conference of 2010 International Conferences on Signal Processing, Image Processing and Pattern Recognition, SIP 2010 and Multimedia, Computer Graphics and Broadcasting, MulGraB 2010, Held as Part of FGIT 2010 ; Conference Date: 13 December 2010 Through 15 December 2010; Conference Code:83305
Uncontrolled Keywords: Blind steganalysis; Consistent performance; Detection accuracy; File sizes; Huffman; Huffman coding; JPEG image; Reliable detection; Statistical steganalysis; Steganographic schemes; YASS, Computer graphics; Image processing; Internet protocols; Pattern recognition; Security of data; Signal detection; Signal processing, Multimedia signal processing
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Mr. Kirana Kumar D
Date Deposited: 17 Mar 2016 06:52
Last Modified: 17 Mar 2016 06:52
URI: http://eprints-bangaloreuniversity.in/id/eprint/2077

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