A novel encryption with bacterial foraging optimization algorithm based pixel selection scheme for video steganography

In the digital era, security is a challenging problem due to the drastic increase in the utilization of the Internet, personal computers, smartphones, etc. for communication purposes. A major issue in the data hiding process lies in the way of embedding the secure data by maintaining the quality of a cover object that necessitates complex techniques that conceal a massive quantity of payload and the robustness of these approaches over hackers. Video steganography is considered an effective way of securing data transmission, which encompasses two processes namely embedding and extraction. Several existing video steganography techniques hide the secret message with no selection of optimal pixels where the proper choice of pixels to hide data helps to improve quality and robustness. Therefore, this article introduces novel encryption with bacterial foraging optimization algorithm-based pixel selection scheme for video steganography (EBFOA-PSVS) technique. The hidden message will be successfully concealed in the cover video utilizing the proposed EBFOA-PSVS technique, which also uses the best possible BFOA pixel selection. The best pixels are then chosen using BFOA to produce the highest peak signal-to-noise ratio (PSNR). Finally, the cover video contains the hidden image that has been encrypted. The EBFOA-PSVS approach has improved in terms of various parameters, according to a thorough comparison investigation of the findings on benchmark test movies.