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Keywords = stegonalysis

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23 pages, 1547 KB  
Article
An Adaptive Steganographic Method for Reversible Information Embedding in X-Ray Images
by Elmira Daiyrbayeva, Aigerim Yerimbetova, Ekaterina Merzlyakova, Ualikhan Sadyk, Aizada Sarina, Zhamilya Taichik, Irina Ismailova, Yerbolat Iztleuov and Asset Nurmangaliyev
Computers 2025, 14(9), 386; https://doi.org/10.3390/computers14090386 - 14 Sep 2025
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Abstract
The rapid digitalisation of the medical field has heightened concerns over protecting patients’ personal information during the transmission of medical images. This study introduces a method for securely transmitting X-ray images that contain embedded patient data. The proposed steganographic approach ensures that the [...] Read more.
The rapid digitalisation of the medical field has heightened concerns over protecting patients’ personal information during the transmission of medical images. This study introduces a method for securely transmitting X-ray images that contain embedded patient data. The proposed steganographic approach ensures that the original image remains intact while the embedded data is securely hidden, a critical requirement in medical contexts. To guarantee reversibility, the Interpolation Near Pixels method was utilised, recognised as one of the most effective techniques within reversible data hiding (RDH) frameworks. Additionally, the method integrates a statistical property preservation technique, enhancing the scheme’s alignment with ideal steganographic characteristics. Specifically, the “forest fire” algorithm partitions the image into interconnected regions, where statistical analyses of low-order bits are performed, followed by arithmetic decoding to achieve a desired distribution. This process successfully maintains the original statistical features of the image. The effectiveness of the proposed method was validated through stegoanalysis on real-world medical images from previous studies. The results revealed high robustness, with minimal distortion of stegocontainers, as evidenced by high PSNR values ranging between 52 and 81 dB. Full article
(This article belongs to the Special Issue Using New Technologies in Cyber Security Solutions (2nd Edition))
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