Abstract
AbstractIn recent years, information security has received a great deal of attention. To give an example, steganography techniques are used to communicate in a secret and invisible way. Digital color images have become a good medium for digital steganography because of their easy manipulation as carriers via Internet, e‐mails, or used on websites. The main goal of steganalysis is to detect the presence of hidden messages in a digital media. The proposed method is a further extension of the authors' previous work: steganalysis based on color feature correlation and machine learning classification. Fusing features with those obtained from color‐rich models allows increasing the detectability of hidden messages in the color images. Our new proposition uses two types of features, computed between color image channels. The first type of feature reflects local Euclidean transformations, and the second one reflects mirror transformations. These geometric measures are obtained by the sine and cosine of gradient angles between all the color channels. Features are extracted from co‐occurrence correlation matrices of measures. We demonstrate the efficiency of the proposed framework on three steganography algorithms designed to hide messages in images represented in the spatial domain: S‐UNIWARD, WOW, and Synch‐HILL. For each algorithm, we applied a range of different payload sizes. The efficiency of the proposed method is demonstrated by the comparison with the previous authors work and the spatial color‐rich model and color filter array‐aware features for steganalysis. Copyright © 2016 John Wiley & Sons, Ltd.
Highlights
Steganalysis, the art of detecting hidden information, has received a great deal of attention in recent years
We demonstrate the efficiency of the proposed framework on three steganography algorithms designed to hide messages in images represented in the spatial domain: S-UNIWARD, Wavelet Obtained Weights (WOW), and Synch-HILL
The green color channel is the most important factor which determines the luminance of the color image, 50% of the pixels in the Bayer Color Filter Array (CF A) structure are assigned to the green channel, while 25% are assigned to the red channel and 25% to the blue color channel [21]
Summary
Steganalysis, the art of detecting hidden information, has received a great deal of attention in recent years. There are many researchers working on solutions ensuring the detection of hidden messages inside digital media. When any person finds and sees an encrypted message, this makes possible its decryption For these reasons, it is common to work with steganography, encrypting the messages, and hiding them in a digital medium. Steganography is the art of hiding the presence of a communication, by embedding messages within a media such as audio, image or video files, in a way that is hard to detect. The embedded messages inside the digital medium involves some slight changes in this medium, these changes modify slight coefficient values of the image [18] These changes are difficult to identify by a common user.
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