A Chaotic Steganography Method Using Ant Colony Optimization

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 695)

Abstract

Since ancient times, there is a need to save data from third parties that spy on the data, leads to the practice of steganography to ensure data integrity and privacy. The advent in multimedia technologies and greater need for security has raised the popularity of image steganography. The traditional algorithm used for image steganography is the Least Significant Bit Method (LSB). A better strategy to overcome the LSB method is to hide data only in edge pixel of image. In this paper, first we apply the ant colony optimization (ACO) method to find edges of an image given by Xiaochen Liu et al. then will hide sensitive message in edges of image randomly to provide more security level. The edge detection technique and chaotic scheme-based steganography is introduced based on the ACO. This strategy efficiently finds the edges and does not attract much attraction compared to other traditional methods. Our result indicates the higher value of PSNR that shows the performance of the proposed algorithm.

Keywords

Steganography Data hiding Edge detection Least Significant Bit (LSB) Pixel Ant colony optimization 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Faculty of Engineering and Technology, Department of Computer EngineeringJamia Millia IslamiaDelhiIndia

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