Key Laboratory of CAPF for Cryptology and Information Security

Fengcheng, China

Key Laboratory of CAPF for Cryptology and Information Security

Fengcheng, China

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Zhang M.,Xi'an University of Technology | Zhang M.,Key Laboratory of CAPF for Cryptology and Information Security | Zhang Y.,Fuzhou Command Academy of the Chinese Armed Police Force | Li D.,Xi'an University of Technology | And 2 more authors.
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | Year: 2015

To improve the embedding sensibility of calibrated feature in steganalysis, by studying the relationship between calibration technique and feature, a mathematical model for calibration based on the calibration classification is established, and a blind JPEG steganalysis algorithm based on the new calibration is presented. First we crop 4 pixels in the image and put forward a modified form of calibration, then the histogram characteristic is obtained according to the spatial distribution of the image features before and after calibration, and the Markov transfer probability matrix of the new calibration is calculated on the basis of redundancy. Finally, we fuse these features with the blocks feature and obtain the feature vector. Through the detection experiment of nsF5, Jsteg and MB1 algorithms with low embedding rates and among the feature vector, it is shown that this method has a better detection performance compared with those existing calibration methods. Its correctrate is more than 90%. The feature sets also show some complementary characteristics. It can be more stable and reliable in the different quality factors experiment. ©, 2015, Science Press. All right reserved.


Niu K.,Key Laboratory of CAPF for Cryptology and Information Security | Li J.,Key Laboratory of CAPF for Cryptology and Information Security | Li J.,Institution of Network and Information Security under Engineering University of the Armed Police Force | Liu J.,Institution of Network and Information Security under Engineering University of the Armed Police Force | And 2 more authors.
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | Year: 2015

On the basis of the improvement of the game theory model, we propose a Strategic adaptive steganography method. First, we use the human visual characteristics of luminance masking, texture masking and the frequency masking factor to compute the distortion measure function after the image is transformed into the wavelet domain. Then we establish a connection between content adaptive distortion measure functionand the strategic adaptive bias function, so that we can get the probability of each cover element for embedding the message according to the Nash equilibrium in the game theory model for steganography. Experimental results show that the statistical security of the proposed method is high than that of the HUGO which is the method of content adaptive steganography. ©, 2015, Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University. All right reserved.

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