Title

Image Complexity and Feature Mining for Steganalysis of Least Significant Bit Matching Steganography

Abstract

The information-hiding ratio is a well-known metric for evaluating steganalysis performance. In this paper, we introduce a new metric of image complexity to enhance the evaluation of steganalysis performance. In addition, we also present a scheme of steganalysis of least significant bit (LSB) matching steganography, based on feature mining and pattern recognition techniques. Compared to other well-known methods of steganalysis of LSB matching steganography, our method performs the best. Results also indicate that the significance of features and the detection performance depend not only on the information-hiding ratio, but also on the image complexity.

Department(s)

Geosciences and Geological and Petroleum Engineering

Keywords and Phrases

Classification; Image Complexity; LSB Matching Steganography; Steganalysis; Computational Complexity; Correlation Theory; Cryptography; Pattern Matching; Information-Hiding Ratio; Data Mining

International Standard Serial Number (ISSN)

200255

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2008 Elsevier, All rights reserved.

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