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Title: What makes the stego image undetectable?
Authors: Wu, S
Liu, Y 
Zhong, S
Liu, Y
Keywords: Cover image selection
Fisher information
Gaussian mixture model
Issue Date: 2015
Publisher: ACM
Source: ICIMCS 2015 : proceedings of the 7th International Conference on Internet Multimedia Computing and Service, August 19-21, 2015, Zhangjiajie Campus, Ji Shou University, Zhangjiajie City, Hunan, China, p. 28-33. New York, NY : ACM, 2015 How to cite?
Series/Report no.: ACM international conference proceedings series
Abstract: Steganography is the art of hiding information in ways that prevents the detection of hidden messages. Image steganography, which hides messages into a cover image for secret transmission, attracts increasing attention in social media era. Currently, most works focus on designing message embedding algorithms to avoid the stego images being distinguished from normal ones via visual observation or statistical analysis. This paper aims to make the detection of the stego images more difficult by selecting the suitable cover images. We propose a new measure to evaluate the hiding ability of the cover image based on Fisher Information Matrix and Gaussian Mixture Model. Experiments on standard dataset validate that the cover image with good hiding ability can improve the performance of various steganography algorithms obviously. Moreover, the proposed measure provides a statistical explanation of the existing cover image selection techniques and shows better performance against steganalysis.
ISBN: 9781450335287
DOI: 10.1145/2808492.2808539
Appears in Collections:Conference Paper

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