Fast retrieval of hidden data using enhanced hidden Markov model in video steganography

摘要: The hidden Markov model is enhanced in the proposed system for fast retrieval of data from video files.Data embedding and processes are performed using conditional states state transition dynamics between frames.It enhances rate with minimized computation cost. In digital world, secure communication has an important role mass media Internet technology. With increase modern malicious technologies, confidential exposed at a greater risk during communication. For secured communication, recent technologies have introduced steganography, new way to hide data. Steganography growing practice concealing multimedia files transfer. Nowadays, videos more commonly chosen as cover than other because moving sequence images audio files. Despite its popularity, steganography faces significant challenge, which lack This study proposes novel technique (EHMM) employed improve speed retrieving EHMM mathematical formulations used enhance extracting secret operations were frames. extensively evaluated three benchmark functions, experimental evaluations conducted test differently sized cover-videos. Results indicate that yields better results by reducing hiding time 3-50%, improving 22-77% minimum computational cost 20-91%, security 4-77% compared state-of-the-art methods.