The Method of Detection of Hidden Information in a Digital Image Using Steganographic Methods of Analysis
Олександр Костянтинович Юдін, Yaroslav Symonychenko, Anna Symonychenko · 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT) · 2019
In this work it is proposed the method of detection of data in a digital image that is hidden using steganographic methods. The proposed method of analysis is based on detecting presence of hidden data embedded in a digital image using bit modification methods of color components of an image based on the RGB color model. This method analyzes the distribution of number of single bits in the conditional blocks of the bit planes of the color components of a digital image and parameters of their variation. In this work we can see the results of the research of the proposed method of detection of hidden data and checking its presence in a digital image using the formed matrix of conditional blocks of color components. Also, the mentioned method allows to determine the class of hidden data, namely, belonging to a linguistic group, if a message is text information. It was conducted the research of the proposed method for different classes of digital image and linguistic groups based on the linguistic ratio parameter.