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Bl-IEA is a research-based implementation of a bit-level fingerprint image encryption algorithm combining the Modified Pseudo Hadamard Transform (MPHT) and a Chaotic Skew Tent Map. It achieves strong diffusion, high randomness, and perfect reversibility, ensuring secure and efficient biometric data protection suitable for real-time applications.
A novel image encryption algorithm implementing 3D Logistic Map and Improved Chirikov Map for secure and robust image encryption. Features enhanced security through chaotic mapping, high key sensitivity, and resistance to cryptographic attacks. With proven effectiveness against brute force and statistical attacks.
This project is written by MATLAB R2020b for speech watermarking suitable for content authentication. Firstly, 4 folders are made by names of "original", "watermark", "extract" and "attack". Then 4 wav files are copied to "original" folder. Finally "final_1.m" can be run.