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Recently, it has become important to ensure data privacy, both when communicating and storing data. Data hiding studies used to provide this privacy have become popular in recent years, and many methods have been proposed. Especially, because of its high capacity, digital color images are more widely used in data hiding. Generally, data hiding is applied to the whole image only by a standard or hybrid method. This article proposes hiding data using different techniques for each pixel of the digital color images. The determination of data hiding techniques depends on the initial pixel value of the cover image and the number of techniques. By adopting this approach, the proposed method ensures confidentiality, privacy, undetectability, and imperceptibility of the hidden data within the cover image. Furthermore, the article introduces a solution to address the fall of boundary problem (FOBP) within the proposed method. The experimental results demonstrate that the proposed approach exhibits flexibility, adaptability, and resistance to attacks. [Display omitted] [ABSTRACT FROM AUTHOR]

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Throughout the ages, safely preserving and transmitting data that have extraordinary importance for humanity has increased its importance with rapid advances in computer technology. Steganography stores hidden data within the files, which are unnoticed by third parties, so it provides secure transmission of data to the receiver. In this study, a steganography-based GUI design has been carried out, which ensures that the agricultural data is safely stored and communicated to the other party. We used LSB one-bit, two-bit, three-bit substitution and PVD algorithms with GUI for stages of agricultural data hiding and extracting at cover images. We also provided extra security using the embedded key and shifting operations on the hidden data before hiding data the cover image. In short, we confused the hidden data in the cover image so that malicious people can't understand. In experimental studies, performance analysis was evaluated by comparing various criteria as similarity ratio (Structural Similarity Index Measure, SSIM), stego image quality (Peak Signal-to-Noise Ratio, PSNR) and data hiding capacity (Payload). [ABSTRACT FROM AUTHOR]

The goals of image steganography are to simultaneously reach maximum embedding capacity, enhanced embedding efficiency, better image quality, and more security. We present a two-step data hiding method that improves image quality, capacity, and embedding efficiency, and also provides stego security. In the first step of the proposed method, the hidden data are encrypted with the key words and shifting method to provide security. In the second stage, we propose adaptive least-significant-bit (LSB)+3 type I and adaptive LSB+3 type II methods to hide encrypted data in the cover image. The image quality of the stego image obtained from the proposed adaptive LSB+3 method is better than the traditional three-bit LSB methods. When maximum data are embedded in the cover image, a peak signal-to-noise ratio (PSNR) greater than 41 dB is reached. Experimental studies show that adaptive LSB+3 type I and adaptive LSB+3 type II methods are higher PSNR values (3.48% and 5.73%) than the standard three-bit LSB substitution methods. [ABSTRACT FROM AUTHOR]

In recent years, the importance of information security has increased due to the growth in digital communication and steganography has come to the fore for secure communication. Steganography ensures that the secret data to be sent in a multimedia file such as text, picture or video embedded in a way that cannot be understood by third parties. Although image steganography has become popular recently, video steganography has also been widely used and preferred recently, due to its high data hiding capacity and robustness. This paper proposes a new data hiding algorithm in video steganography for effective frame selection, high embedding capacity and good visual quality. The proposed algorithm has two phases: frame selection and data hiding. In the first phase, the frame selection offers a rapid and impressive new method based on enhanced Vigenere. The most significant advantage of this algorithm is to achieve the same level of security without using complex operations such as chaotic systems used in existing methods. In the second phase, we have used adaptive LSB332 for data hiding, which embeds video files with high capacity, high PSNR and SSIM. When the experimental results evaluated, it was observed that the proposed method is over 65 dB PSNR value and 0.99 SSIM value at 20 kbits data capacity. It was also achieved approximately 55 dB and 50 dB PSNR value at 200 kbits and 500 kbits data capacities, respectively, where is no appreciable loss in the SSIM value. Compared to LSB332 based methods, the capacity increased by approximately 12% at same visual qualities. Furthermore, the visual quality of the proposed method is much better than other video data hiding methods, while the capacity increases by 19%. [ABSTRACT FROM AUTHOR]