New Steganalysis Methods Based on Camera Source Identification and Outlier Detection
In order to solve the cover source mismatch problem,a new blind universal image steganalysis algorithm combining camera source identification and outlier detection is proposed in this paper.Cover images from the same source of the test image are retrieved from the reference image database as aided samples.The test image and its aided samples form a whole test set.As the stego image can be regarded as an outlier,the outlier detection is performed on the test set to judge the test image as cover or stego.This method has removed the need for training and mitigated the impact of cover source mismatch.Experiment results show that our method is effective on several JPEG steganography algorithm.
steganalysis cover source mismatch camera source identification outlier detection
Yunda Wu Tao Zhang
China National Digital Switching System Engineering & Technological R&D Center Zhengzhou,China
国际会议
重庆
英文
577-580
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）