A Secure Data-Hiding Approach Using Particle Swarm Optimization and Pixel Value Difference

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Author(s): Tanmoy Halder (Dr. B. C. Roy Engineering College, India), Sunil Karforma (The University of Burdwan, India)and Rupali Halder (Bengal College of Engineering and Technology, India)
Copyright: 2016
Pages: 19
Source title: Handbook of Research on Natural Computing for Optimization Problems
Source Author(s)/Editor(s): Jyotsna Kumar Mandal (University of Kalyani, India), Somnath Mukhopadhyay (Calcutta Business School, India)and Tandra Pal (National Institute of Technology Durgapur, India)
DOI: 10.4018/978-1-5225-0058-2.ch016

Keywords: Artificial Intelligence / Biologically-Inspired Computing / Information Science Reference / Medicine & Healthcare

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Abstract

In this chapter a novel data hiding approach by combining Particle Swarm Optimization (PSO) and Pixel Value Difference (PVD) has been proposed. Pixel-Value-Difference (PVD) method of Steganography uses the difference between pixels within an image to hide secret data. The proposed method is a block-based adaptive steganographic approach, which selects M×N block of pixels from cover image and embed secret message within pixels using Pixel-value-difference and LSB substitution method. PSO is used to select most appropriate areas within the image for hiding secret information. Results obtained using the approach show that distortion due to data embedding is negligible. The proposed approach is compared with existing methods in terms of bits per pixel. This method could be applied to hide any digital secret data for secure transfer over internet.

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A Secure Data-Hiding Approach Using Particle Swarm Optimization and Pixel Value Difference

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