High Security and Robustness Image Steganography Based On Ant Colony Optimization Algorithms and Discrete Cosine Transform
Abstract
Abstract
Steganography, which is the science of delivering a message between parties in a way that an
eavesdropper will not be aware that the message exists, is one of the key disciplines that have a considerable interest in fields. The suggested method seeks to conceal a smaller color image within a larger color image. It utilizes the transform domain throughout the steganography process to increase its resistance to changes and treatments made to the cover image. In order to achieve both complexity security and robustness, the project seeks to implement and utilize two techniques: ant colony optimization and transformation domain approach. The technologies under consideration suggest a Steganography method for digital photographs. It employs Discrete Cosine Transform (DCT) to achieve the same aims in terms of security, transparency and robustness. Additionally, it makes use of Once an Ant Colony Optimization (ACO) to increase robustness against signal processing attacks and imperceptibility in accordance with the human visual system. This work implements ACO for the cover to find the embedding locations on the graph path, and then finds locations to hide information based on threshold method, when looking for places to hide information blocks, DCT uses an intelligent block matching technique between the embedded image and the cover image, and both systems were tested against each other to compare their performance. Six stages make up the proposed secret key steganography system: test, transform, key creation and substitution, ant colony optimization, matching, inverse transform, and key encryption and concealing.
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