Research Of Steganography And Steganalysis Of Adaptive EA Algorithm In Spatial Domain

Steganography is an important branch in the field of information security. The main purpose of Steganography is to transmit secret message by embedding it into a certain object without being aroused suspicion. The objects used to carry secret message have a variety of options, such as the digital images, vider, audio, and textfile, etc. Steganalysis is the opposite of Steganography. Its main purpose is to detect the test object and to judge whether it carries secret message. Steganography and Steganalysis have the relationship of unity of opposites. As the application of the information technology becomes wider and wider, Steganography and Steganalysis has developed rapidly. The research of this paper is the spatial Steganography and Steganalysis algorithms. This paper mainly includes the following three aspects:(1) Two typical Steganography algorithms(LSBM and EA) and five typical Steganalysis algorithms(WAM, HCF-COM, ALE, SPAM and SRM) in spatial domain are studied. Then we analysis these algorithms by the corresponding experiments.(2) The Steganalysis algorithm based on the histogram of absolute difference of adjacent pixels is proposed. This scheme judges whether an image carries secret message by analysing the statistical property of its histogram of absolute difference of adjacent pixels. The experimental results demonstrate that this scheme can detect EA algorithm effectively even at quite a low embedding rate. Our proposed scheme has simple principle and strong realtime.(3) By modifying the relative quantity of the adjacent pixels units whose absolute differences are T and T+1to take away the pulse distiotion, we proposed a new Steganographic algorithm After this modification, the statistical property of this histogram of the final stego image is almost the same as that of the cover one. The experimental results demonstrate that our proposed scheme can resist the Steganalysis algorithm based on the histogram of absolute difference of adjacent pixels. Moreover, our proposed scheme has greater security than LSBM method and EA Steganography when facing the state-of-the-art spatial Steganalyzers’attacks.