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Particle Swarm Optimization (PSO) for Optimization in Video Steganography
Abstract
This chapter describes use of Natural Computing for optimization in the domain of Steganography. Steganography is an art of concealing information in any media. Internet has made digital content popular and very widely used media. Digital contents shared over Internet are text, audio, images and video streams. Video steganography is hiding secret information in video. It is gaining increasing significance as video streams are transmitted frequently over social media sites like Facebook and YouTube. The first part of the chapter introduces steganography and highlights video steganography as an optimization problem. Further in the chapter natural computing is discussed and Particle Swarm Optimization (PSO) a popular natural computing tool is elaborated in details. Experimental results are presented to check the efficacy of the method.
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