Optimized Video Steganography Using Genetic Algorithm (GA)

This paper proposes a novel video steganography scheme for efficient and effective information hiding. In this era of Internet communication video is considered to be an effective and important tool for communication. Video steganography uses video as cover media for embedding secret data. A 3-3-2 LSB based scheme has been used as a base technique for video steganography. Imperceptibility and video quality are supposed to be two key parameters for deciding goodness of any steganographic scheme. Thus the base technique is enhanced using Genetic Algorithm (GA) which thrives to get an optimal imperceptibility of hidden data. An anti-steganalysis test is used to check for the innocence of the frame with respect to original frame. Experimental results show a substantial improvement in the Peak Signal Noise Ratio (PS NR) and Image Fidelity (IF) values after optimization over the base technique. Complexity analysis of the proposed method is also reported in the paper.