# Framework for Video Steganography Using Integer Wavelet Transform and JPEG Compression
###### Abstract  
In today's world of computers everyone is communicating their personal information through the web. So, the security of personal information is the main concern from the research point of view. Steganography can be used for the security purpose of personal information. Storing and forwarding of embedded personal information specifically in public places is gaining more attention day by day. In this research work, the Integer Wavelet Transform technique along with JPEG (Joint Photograph Expert Group) compression is proposed to overcome some of the issues associated with steganography techniques. Video cover files and JPEG compression improve concealing capacity because of their intrinsic properties. Integer Wavelet Transform is used to improve the imperceptibility and robustness of the proposed technique. The Imperceptibility of the proposed work is analyzed through evaluation parameters such as PSNR (Peak Signal to Noise Ratio), MSE (Mean Square Error), SSIM (Structure Similarity Metric), and CC (Correlation Coefficient). Robustness is validated through some image processing attacks. Complexity is calculated in terms of concealing and retrieval time along with the amount of secret information hidden.  
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upon the kind of carrier file used steganography is divided into text, image, audio, and video as shown in Figure 2[4].  
All these types of video files are gaining popularity day by day. Video files have their application in various fields like social sites, education, medical, business, banking, etc. Video files have a large size compared to other files like text, images, and audio. Due to the large size of the video, concealing capacity can be improved. A video file has multiple options to conceal secret information. Due to this, the security of the technique can be improved. Because of the dynamic nature of video, the chances of detection of secret information are reduced. In this way, robustness against different types of attacks can be increased [5; 6].  
Some of the key issues associated with the existing steganography techniques are concealing capacity, imperceptibility, and robustness. The issue of concealing capacity could be overcome by taking a video as a cover file. A video has a large size; so by providing multiple options to hide secret information, the concealing capacity can be improved. By using IWT for concealing secret information, imperceptibility, as well as robustness, can be improved. Traditional transform techniques have many disadvantages over IWT techniques. Traditional techniques work on the persistent frequency of the entire signal, but IWT decompose signals into set of wavelets. The IWT technique works in the transform domain. Transform domain techniques can analyze the signal in terms of time as well as frequency. In the time domain, a sharp spike of the signal can be identified easily. Hiding secret information in the sharp spikes does not disturb the quality of the stego file. IWT deals with integer coefficients, so requires less computational cost and time. So, IWT with video cover files can provide a proper balance between concealing capacity, imperceptibility,  
Figure 1: Steganography Process.  
Figure 2: Steganography Types.  
and robustness. JPEG compression is also helpful to enhance the concealing capacity of the technique.  
This paper is organized into six sections in total. Section 2 discusses and summarizes the related work. The summary presented in Section 2 helped the authors on the proposed technique. The proposed model along with the respective algorithms is described in Section 3. Section 4 presents the experimental setup for the proposed work. In Section 5, the results are discussed and analyzed based on various evaluation parameters. The conclusion along with the future directions is presented in Section 6.