• T.BHAGHYA LAKSHMI
• Dr. I. KULLAYAMMA

Steganography involves data hiding in computer files. Stenographic coding, include a file including the document, image, program as well as guidelines, can be included in electronic communication in a transport layer. Because of their large size media files are suitable for the steganography transmission. This paper focuses on video steganography. Video steganography is nothing but hiding the complete secret video within the cover video. Firstly the back ground subtraction of the secret video and cover video is obtained because hiding the back ground subtraction video is much easier when compared to hiding original video. This model uses the convolutional neural network method. And all results show that this method is efficient. The applications of this novel video steganography approach are widespread. It can be employed in secure video communication, where confidential data is concealed within video streams, safeguarding sensitive information from unauthorized access. Additionally, it can be used for digital rights management, ensuring copyright protection by embedding invisible watermarks into videos. Furthermore, the proposed framework can aid in forensic investigations by allowing hidden data retrieval from suspicious video content.

Video steganography, Data hiding, convolutional neural network, residual modelling etc.

"VIDEO STEGNOGRAPHY USING CONVOLUTION NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.i564-i571, June-2023, Available :http://www.jetir.org/papers/JETIR2306858.pdf

"VIDEO STEGNOGRAPHY USING CONVOLUTION NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppi564-i571, June-2023, Available at : http://www.jetir.org/papers/JETIR2306858.pdf