Study on Universal Steganalysis for BMP Images Based on Multi-Domain Features
Yan Yan, Li Ting Li, Jian Bin Xue, Hong Guo Liu, Qiu Yu Zhang · Applied Mechanics and Materials · 2013
Steganslysis is an important research issue in information security. Aimed at the most commonly used cover media, digital images, the paper proposed a new method of universal steganalysis method based on multi-domain features. Features were extracted from spatial domain and DWT domain to overcome the drawbacks of steganslysis algorithm for specific steganography, such as high complexity and low correct detecting ratio. Experiment results show that the proposed algorithm can solve the low detecting problem and achieve a better reliability on low embedding rates.