AI-Based Steganography Method for Iot Data Communication Using Secure Blockchain

Abstract— As the demand for secure data transmission continues to rise, steganography has become an essential technique in information security. Despite its importance, conventional steganographic approaches often lack flexibility and robust content protection. This paper introduces an innovative method that combines artificial intelligence with adaptive steganography and real-time content safeguarding. The proposed framework intelligently tailors steganographic strategies by analyzing the type of cover media and assessing potential risks. It also incorporates mechanisms for dynamic content modification, which respond to user interactions or predefined conditions. This work outlines the architecture, development, and performance assessment of the system. Experimental results highlight the benefits of AI-driven adaptability and dynamic content control in strengthening steganographic techniques. Additionally, the paper explores current challenges, future enhancements, and practical use cases of this forward-looking methodology.

Steganography, Artificial Intelligence (AI),, Contrastive Learning,, Generative Adversarial Networks (GANs).

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