Significance of applying K-means Clustering Technique to Video Steganography

Abstract: The rapid growth in digitalization and usage of public domain channels has greatly facilitated transfer of data. The rapid growth in technology facilitating transfer of data through internet has a lot of security threats as these public domains are highly vulnerable. Among the techniques used for concealing the confidential data, video steganography is eminent. This paper indicates the progress in the field of video steganography, its uses and techniques based on secret media, image and video. The paper also makes a performance comparison of known video steganography techniques and identifies K-means clustering as one of the most suitable techniques for video steganography, which is applied in solving most of the real time problems.

Keywords: K-means, Random Byte Hiding, LSB, MSE, PSNR, Steganalysis.