Nature Inspired Algorithm for Pixel Location Optimization in Video Steganography Using Deep RNN

The steganography is applied on text, image, video, and audio files. useful for safe secure data transmission. Video used to preserve confidential information of security applications. To improve the message, pixels locations are optimized using nature inspired algorithm. As conventional algorithms have a low convergence rate new algorithm proposed. A New developed by combining two model namely, Water wave optimization (WWO) Earth worm (EWO) renamed as proposed Water-Earth Worm Optimization (WEWO) frames preprocessed extracted Discrete Cosine transform (DCT) Structured Similarity index (SSIM), respectively, regular processing. For pixel prediction, fitness function obtained from neighborhood entropies in In this method, secret message embedded with level decomposition Wavelet Transform (WT). work tested ‘CAVIAR’ dataset. Proposed WEWO-Deep RNN performance modular noises such as, pepper, salt pepper noises. method gives enhanced performance, which seen parameters, Peak Signal Noise Ratio (PSNR), Mean Square Error (MSE), Correlation Coefficient (CC) defines image quality indices.