Document details

Image complexity and feature mining for steganalysis of least significant bit m...

Author(s): Liu, Qingzhong cv logo 1 ; Sung, Andrew H. cv logo 2 ; Ribeiro, Bernardete cv logo 3 ; Wei, Mingzhen cv logo 4 ; Chen, Zhongxue cv logo 5 ; Xu, Jianyun cv logo 6

Date: 2008

Persistent ID: http://hdl.handle.net/10316/4093

Origin: Estudo Geral - Universidade de Coimbra

Subject(s): Steganalysis; LSB matching steganography; Image complexity; Correlation; Classification


Description
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. http://www.sciencedirect.com/science/article/B6V0C-4PGGP7X-1/1/860a8a93799c6d245e4ee52bfdb4180d
Document Type Article
Language English
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