Progonov, D. O.2023-05-292023-05-292022Progonov, D. O. Investigation of Digital Image Preprocessing Methods Influence on the Accuracy of Stego Images Detection / Progonov D. O. // Вісник НТУУ «КПІ». Радіотехніка, радіоапаратобудування : збірник наукових праць. – 2022. – Вип. 89. – С. 54-60. – Бібліогр.: 15 назв.https://ela.kpi.ua/handle/123456789/56236The feature of modern methods of detecting unauthorized transmission of confidential data in communication systems is widespread usage of pre-processing methods for transmitted files, such as digital images. The purpose of these methods is to detect weak changes of cover image’s statistical parameters cauased by message hiding. A significant number of these methods are based on usage of ensembles of high-pass filters, which allows to ensure high accuracy of detection of steganograms (more than 95%) formed according to known steganographic methods. However, a significant limitation of the practical application of these methods is high computational complexity of ensemble forming procedure that minimizes the detection error of stego images. This makes it impossible to quickly reconfigure stegdetectors to detect stego images formed according to a priori unknown embedding methods. Therefore, it is of special interest to develop fast methods for image pre-processing, which can reliably detect weak changes of cover’s statistical parameters under limited a priori information about used steganographic method. The work is devoted to the study of the achievable accuracy of the stedetector with variations type and parameters of digital images pre-processing methods. According to the results of the study, the optimal methods of pre-processing image to minimize the detection error of stego images are proposed. These methods can significantly (up to 9 times) reduce the error of stego images detection compared to modern pre-processing methods, even in the most difficult case of low payload of cover image (less than 10%) and limited a priori data about used embedding method. It is revealed that usage of special types of image pre-processing methods, namely denoising autoencoders, allows to bring the accuracy of a stegdetector closer to the proposed estimations of achievable accuracy of stegodetectors.ensteganalysisstego image preprocessing methodsdigital imagesстегоаналiзметоди попередньої обробки стеганограмцифровi зображенняArticlePp. 54-60https://doi.org/10.20535/RADAP.2022.89.54-60621.390000-0002-1124-1497