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The secret information hiding inside the cover image is termed image steganography, in which the secret information may be either in visual or text format. The concealment of secret information inside the cover image is devised by converting the information into the standard form using conventional image steganography. Here, the cover image is usually systematically altered to carry the secret binary bits after the translation of secret data into binary bits. The cover image may get distorted due to overload, making the hidden information obvious. As a result, the conventional image steganography approaches have a limited ability to conceal. Hence, this research introduces a novel image steganography using the optimized deep learning technique. For novel image steganography, an improved archerfish hunting optimization-based twin attention convolution capsule network (ImAho-TACCNet) is introduced for image steganography. Here, the proposed ImAho is utilized for modifying the tunable parameters of the TACCNet to enhance the efficiency of the image steganography process in terms of minimum mean square error (MSE) and maximal peak signal-to-noise ratio (PSNR). Besides, secret information compression and recursive encryption techniques further enhance the security of secret information. The analysis of ImAho-TACCNet based on various assessment measures like PSNR, SSIM and MSE accomplished enhanced outcomes with the values of 62.37, 0.9923, and 0.0165 for the hidden network model and 64.23, 0.9989, and 0.0125 for the extraction network model. [ABSTRACT FROM AUTHOR]

Security of data is always needed whenever communication is done and to achieve that purpose different techniques are used so that data should not be attacked by the third party. Different data concealing techniques like cryptography, watermarking etc. are used. But if we want the intruder not to even know about the presence of secret data we have to use the Steganography Technique. And this technique can be applied by using different files like text, audio, video etc. One of the steganography types as video steganography used to hide the secret data in an easy manner due to the complexity of its structure. We have different types of methods based upon Format, Cover, and Frequency in video steganography. This paper provides a review and analysis of the video steganography technique applied to AVI video file with LSB technique and the comparison of frames in the video file is analyzed with the help of different parameters to find how similar the cover video frame after embedding the secret data. The analysis is based on the PSNR, MSE, and the result is given. [ABSTRACT FROM AUTHOR]