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Erschienen in:
2018 | OriginalPaper | Buchkapitel
A Chaotic Steganography Method Using Ant Colony Optimization
verfasst von : Shahzad Alam, Tanvir Ahmad, M. N. Doja
Erschienen in: Intelligent Engineering Informatics
Verlag: Springer Singapore
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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.