A Critical and Comparative Study of Data Immersing in Video Steganography

A Critical and Comparative Study of Data Immersing in Video Steganography

© 2022 by IJETT Journal
Volume-70 Issue-2
Year of Publication : 2022
Authors : Alaknanda S. Patil, G. Sundari
DOI :  10.14445/22315381/IJETT-V70I2P222

How to Cite?

Alaknanda S. Patil, G. Sundari, "A Critical and Comparative Study of Data Immersing in Video Steganography," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 195-200, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I2P222

Because of the rapid expansion of video data on the Internet, video steganography has grown in-demand options. Messages are increasingly being communicated on information superhighway platforms such as YouTube and Facebook, placing a greater real-time impact on the steganography of video. There are various methods for concealing data in video, each with its own set of advantages and disadvantages. Spatial domain methods, transform domain methods, and other methods are some of the several categorizations of current techniques depending on the embedding domain. Because pixel intensity determines how much data is preserved in the Spatial Domain approach, a significant quantity of data may be stored without being seen. However, the grade of video files may degrade after embedding particular sections. It is determined by the authentic multimedia files` colour depth, and the bit`s amount injected. The little deterioration is due to the high quality of the pixels and the use of fewer bits. This article`s goal is to provide an updated exhaustive review of the multiples of multimedia steganographic methods. When developing a decent steganographic algorithm, security, resilience, embedding payload, embedding efficiency and robustness against attackers are critical considerations. The concept of video steganography can be implemented with Matlab, Java and Python software.

DNA, Data security, Data embedding, Imperceptibility, Steganography.

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