Dynamic fractional chaotic biometric isomorphic elliptic curve for partial image encryption

In this paper, a Modular Fractional Chaotic Sine Map (MFC-SM) has been introduced to achieve high Lyapunov exponent values and completely chaotic behavior of the bifurcation diagram for level security. The proposed MFC-SM is compared with conventional non it an excellent analysis. addition, randomness test results indicate that shows better performance satisfy all tests. Due properties good randomization MFC-SM, used be cooperated biometric digital identity dynamic identity. Also, real time image encryption, both Discrete Wavelet Transform (DWT)partial encryption Isomorphic Elliptic Curve (IEC)key exchange are used. extracted from user fingerprint as minutia data incorporated hence, new Dynamic Biometric Digital IdentityIEC (DFC-BID-IEC) introduced. Key Generator (DFC-KG) control key schedule decryption processing. process consists confusion diffusion steps. step, 2D Arnold Cat (ACM) secret parameters taken DFC-KG. step based on self-invertible matrix which can generated MFC-SM. IEC Diffie?Hellman(ECDH) isomorphism parametre. Statistical analysis, differential analysis sensitivity tests performed estimate security strengths DFC-BID-IEC system. experimental show algorithm robust against common signal processing attacks provides speed application.