International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Steganography aims to conceal confidential information within digital media while minimizing perceptual and statistical distortions. Among image steganographic techniques, adaptive embedding methods have demonstrated superior resistance to steganalysis by exploiting image regions with high local complexity. One effective approach utilizes the Canny edge detection algorithm to identify suitable embedding locations. However, the effectiveness of such methods depends not only on embedding capacity but also on comprehensive security evaluation. This paper presents a systematic framework for assessing the security of an adaptive Canny-based steganographic method. Multiple objective metrics, including Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), Mean Squared Error (MSE), histogram similarity, entropy variation, correlation coefficients, and resistance to statistical steganalysis are analyzed. The proposed evaluation framework demonstrates that edge-based adaptive embedding maintains high visual fidelity while significantly reducing detectability compared with conventional least significant bit (LSB) techniques.

The article deals with the steganography system which hides text inside images without losing data. The secret message is hidden in the cover image using Least Significant Bit (LSB) algorithm. To evaluate steganography system properties the measures like Signal-to-Noise Ratio (SNR), Peak Signal-to-Noise Ratio (PRSN), Mean Squared Error (MSE) and Structural Similarity Index for measuring (SSIM) are used. Experimental results show the advantages of the described steganography system.

The report examines the use of steganography as a method of hiding text, images or sound recordings in file-carrier for mobile devices, which may give the opportunity to keep the correspondence without awaking any suspicion. The information file is hidden in the filecarrier by the method Least significant bit (LSB) through various algorithms of coding. The experimental part compares mobile applications, which are using Steganography methods and compares their advantages. The experimental results show that the Ultra Mobile Steganography is realizing with fast pace, the applications have common static characteristics of the cypher image and are easy to use.