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Document Type

Original Study

Keywords

Computer Engineering

Abstract

Data breaches, illegal access, and private property theft are becoming increasingly common in today's digital era, making security and information hiding essential sensitive information not protected by traditional security methods. An attractive option is region-based segmentation techniques, which split images into discrete areas for specific data embedding. By making the entire image less susceptible to attacks. Each segmented zone is given a zigzag pattern to further boost robustness. Because of the extra complexity this adds, it becomes harder for attackers to find the hidden data. Least Significant Bit (LSB) steganography is then used to reduce visual distortion by altering the least significant bits of pixels, which makes it challenging to detect. Nevertheless, it is vulnerable to attackers that examine the image's statistical characteristics. In this paper, a range of publicly accessible images from the internet were used with one screenshot from the user's personal computer to evaluate the effectiveness of the method suggested. Peak signal-to-noise ratio (PSNR) is used as a statistic to assess how effective the suggested approach is. In order to make sure that the embedding procedure does not substantially deteriorate the visual quality, PSNR compares the stego-image's quality to the original image. The highest error rate was obtained when using the Baboon and the screenshot images, where 88,599 and 91,175 were obtained, respectively, when hiding 5 bytes of data, while we obtained 61,946 and 64,034 when hiding 2,500 bytes. Effective data are hidden without sacrificing the integrity of the image, as indicated by a high PSNR score.

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