Steganalysis of enhanced BPCS steganography using the Hilbert-Huang transform based sequential analysis

Document Type

Conference Proceeding

Publication Date

12-1-2008

Abstract

In this paper, we present a steganalytic method to attack the enhanced BPCS steganography (for short EBPCS) proposed by Niimi et al. The key element of the method is analysis of the bitplane-block complexity difference sequences between stego images and cover images based on Hilbert-Huang transform. The Hilbert transform based characteristic vectors are constructed via empirical mode decomposition of the sequences and the support vector machine classifier is used for classification. Experimental results have demonstrated effectiveness of the proposed steganalytic method in spatial domain images and JPEG2000 format images. According to our best knowledge, this method is the first successful attack of EBPCS and can be effectively used in spatial domain and frequency domain (especially DWT/JPEG2000) images. © 2008 Springer Berlin Heidelberg.

Identifier

58349113191 (Scopus)

ISBN

[3540922377, 9783540922377]

Publication Title

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

External Full Text Location

https://doi.org/10.1007/978-3-540-92238-4_10

e-ISSN

16113349

ISSN

03029743

First Page

112

Last Page

126

Volume

5041 LNCS

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