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Authors: Veena H. Bhat 1 ; Krishna S. 1 ; P. Deepa Shenoy 1 ; Venugopal K. R. 1 and L. M. Patnaik 2

Affiliations: 1 University Visvesvaraya College of Engineering, India ; 2 Defence Institute of Advanced Technology, India

ISBN: 978-989-8425-18-8

Keyword(s): Steganography, Steganalysis, Support Vector Machines, Huffman coding.

Related Ontology Subjects/Areas/Topics: Data and Application Security and Privacy ; Data Protection ; Digital Forensics ; Information and Systems Security ; Information Assurance ; Information Hiding

Abstract: Blind Steganalysis attempts to detect steganographic data without prior knowledge of either the embedding algorithm or the ‘cover’ image. This paper proposes new features for JPEG blind steganalysis using a combination of Huffman Bit Code Length (HBCL) Statistics and File size to Resolution ratio (FR Index); the Huffman Bit File Index Resolution (HUBFIRE) algorithm proposed uses these functionals to build the classifier using a multi-class Support Vector Machine (SVM). JPEG images spanning a wide range of resolutions are used to create a ‘stego-image’ database employing three embedding schemes – the advanced Least Significant Bit encoding technique, that embeds in the spatial domain, a transform-domain embedding scheme: JPEG Hide-and-Seek and Model Based Steganography which employs an adaptive embedding technique. This work employs a multi-class SVM over the proposed ‘HUBFIRE’ algorithm for statistical steganalysis, which is not yet explored by steganalysts. Experiments conducted prov e the model’s accuracy over a wide range of payloads and embedding schemes. (More)

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Paper citation in several formats:
H. Bhat V.; S. K.; Shenoy P.; K. R. V.; M. Patnaik L. and (2010). HUBFIRE - A MULTI-CLASS SVM BASED JPEG STEGANALYSIS USING HBCL STATISTICS AND FR INDEX.In Proceedings of the International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2010) ISBN 978-989-8425-18-8, pages 447-452. DOI: 10.5220/0002989004470452

@conference{secrypt10,
author={Veena {H. Bhat} and Krishna S. and P. Deepa Shenoy and Venugopal {K. R.} and L. {M. Patnaik}},
title={HUBFIRE - A MULTI-CLASS SVM BASED JPEG STEGANALYSIS USING HBCL STATISTICS AND FR INDEX},
booktitle={Proceedings of the International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2010)},
year={2010},
pages={447-452},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002989004470452},
isbn={978-989-8425-18-8},
}

TY - CONF

JO - Proceedings of the International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2010)
TI - HUBFIRE - A MULTI-CLASS SVM BASED JPEG STEGANALYSIS USING HBCL STATISTICS AND FR INDEX
SN - 978-989-8425-18-8
AU - H. Bhat, V.
AU - S., K.
AU - Shenoy, P.
AU - K. R., V.
AU - M. Patnaik, L.
PY - 2010
SP - 447
EP - 452
DO - 10.5220/0002989004470452

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