Image complexity and feature mining for steganalysis of least significant bit matching steganography

• Autor(a) principal: Liu, Qingzhong
• Data de Publicação: 2008
• Outros Autores: Sung, Andrew H., Ribeiro, Bernardete, Wei, Mingzhen, Chen, Zhongxue, Xu, Jianyun
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10316/4093; https://doi.org/10.1016/j.ins.2007.08.007
• topic: Steganalysis; LSB matching steganography; Image complexity; Correlation; Classification

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.