Secure Video Steganography based on Discrete Wavelet Transform and Arnold Transform

Abstract

nternet has made so easy to transfer the large amount of data in different parts of the world. So, the security and safety of information has become the major concern. This problem has led to the development of steganography techniques. This paper deals with data hiding technique in which the secret data is embedded into the cover video. Firstly, cover video is decomposed into different frames. A single level Discrete Wavelet transform is applied on selected frame and on secret image. A private key is used during the process of encoding and decoding to provide high security. Then the Inverse Discrete Wavelet Transformation (IDWT) is applied to get the stego-video. The performance parameters like Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) can be calculated to determine the quality of stego video. The results show that the proposed algorithm for steganography is highly secured with good perceptual invisibility. A methodology based on Least Significant Bit (LSB) was introduced (5) in which secret data is embedded into the LSB of the host video frame. The quality of the stego video can be measured by using performance parameters like Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE). A secure technique of video steganography was proposed (6). This method provides index to secret data and the index is then placed in a video frame. At the receiving end, inspite of searching the whole video, the secret data can be retrieved from stego video with the help of index. This will reduced the computational time as compare to other existing methods. An improved method of data hiding based on back propagation neural network method was proposed (7). In this method, neural network is used to perform XOR operation. Secret data is embedded into avi video format by using LSB substitution technique.