Abstract
Image steganography is the process of sending messages secretly by hiding the message in AN image content. Although steganography hides information in any kinds of digital mediums, digital images are the most popular carrier because of the frequency of usage in the internet. Adaptive steganography methods do not embed a secret message uniformly in images. Steganalytic techniques are used to detect whether an image contains a hidden message by analyzing various image features extracted from stego images which contain hidden messages and cover images with no hidden messages. In this paper, an Adaptive Image Steganalysis (AIS) algorithm is proposed to breakdown adaptive steganography methods. In this method, a suspicieuse block of an image is selected intelligentlly. Afterward, a set of selected features is extracted from this chosen image block. As a result, a feature vector is generated which improves accuracy of steganalysis. Experimental results show that AIS algorithm outperforms other classic steganalysis approaches.
Published Version
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