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@article{196577,
        author = {Polavarapu Bhavya Keerthi and Yadla Bhavani and Yadla Bhavani and Nagiredla Suresh Kumar},
        title = {Steganography Using Randomized LSB and AI Encryption},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {4460-4469},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196577},
        abstract = {Secure data communication has become a critical requirement in modern digital environments due to the increasing risks of data interception and information leakage over open networks. The proposed project focuses on developing a randomized LSB-based image steganography system with AI-assisted hybrid encryption to provide a secure and covert communication platform.
The system employs AES-256 encryption followed by the ChaCha20 stream cipher to ensure strong data confidentiality and enhanced security. An AI-based image analysis mechanism using a Random Forest Regressor supports intelligent pixel selection for data embedding by analyzing image features such as pixel intensity, edge distribution, and texture patterns, improving adaptability across different images.
The encrypted data is embedded into digital images using an AI-guided randomized Least Significant Bit (LSB) steganography technique, reducing detectability and improving resistance to steganalysis attacks while maintaining image quality. The system is implemented as a full-stack web application using React and Express, incorporating user authentication and activity monitoring features.
The proposed system enables secure and reliable information sharing without significantly affecting system performance.},
        keywords = {Image Steganography, Randomized LSB, AI-Assisted Pixel Selection, Random Forest Regressor, Hybrid Encryption, AES-256, ChaCha20, Secure Communication, Web-Based Steganography.},
        month = {April},
        }