• Deepali A Dixit
• Aisiri P
• Shravani R S
• Vijayalakshmi V

This project focuses on enhancing data security through biometric watermarking using Rubik’s Cube-based encryption. The system integrates biometric authentication (iris and fingerprint) with advanced encryption techniques to secure sensitive data. Convolutional Neural Networks (CNNs) are employed for feature extraction to improve accuracy and reliability. The proposed system ensures robust protection against unauthorized access and tampering, offering a multi-layered security solution for applications like secure data storage and communication. This innovative approach aims to provide a secure, efficient, and reliable method for safeguarding biometric data.

"Biometric Watermarking using Rubik's Cube Encryption and Decryption", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.d826-d835, December-2024, Available :http://www.jetir.org/papers/JETIR2412400.pdf

"Biometric Watermarking using Rubik's Cube Encryption and Decryption", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppd826-d835, December-2024, Available at : http://www.jetir.org/papers/JETIR2412400.pdf