Detection of hiding in the LSB of DCT coefficients

Authors:
Mingqiao Wu;Zhongliang Zhu;Shiyao Jin
Affiliations:
School of Computer, National University of Defense Technology, Changsha, China;Key Lab, Southwest Institute of Electron & Telecom Techniques, Chengdu, China;School of Computer, National University of Defense Technology, Changsha, China
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Year:
2005

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Abstract

In this paper, we provide a steganalysis method which can detect the hiding in the least significant bit of the DCT coefficients. The method is based on the thought that the DCT coefficients are correlative. So the LSB sequence of the DCT coefficients is not random as a pseudo-random sequence. The randomness the LSB sequence is measured by some statistical tests. We find, as the increase of the embedded secrets, the randomness of the LSB sequence increase. Using the statistical tests as the features, we train ε -support vector regression ( ε -SVR) with train images to get the statistical mode of the estimation of the embed secrets. With the statistical mode, we can discriminate the stego-images from the clear ones. We test our method on Jsteg and OutGuess. The results of experiments show that our method can detect the hiding by Jsteg and OutGuess either.