Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/4093
Title: Image complexity and feature mining for steganalysis of least significant bit matching steganography
Authors: Liu, Qingzhong 
Sung, Andrew H. 
Ribeiro, Bernardete 
Wei, Mingzhen 
Chen, Zhongxue 
Xu, Jianyun 
Keywords: Steganalysis; LSB matching steganography; Image complexity; Correlation; Classification
Issue Date: 2008
Citation: Information Sciences. 178:1 (2008) 21-36
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.
URI: http://hdl.handle.net/10316/4093
Rights: openAccess
Appears in Collections:FCTUC Eng.Informática - Artigos em Revistas Internacionais

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