Multimodal Biometric-based Secured Authentication System using Steganography

Abstract

Problem statement: The main challenge in the design of a security system for high security mobile ad OC network is how to prevent the attacks against data modification and authentication. Approach: In this novel proposed system the messages communicated between the users are encrypted by the cancellable cryptographic key generated from fingerprint features of the receiver by applying genetic operators and are embedded inside the scrambled face biometrics of the sender using steganography method. Results: The receiver first unscrambles the facial image of the sender and separates the facial image and the encrypted data. Then he verifies the sender by using an Eigen face recognition algorithm and if he is a genuine sender he decrypts the cipher text with the key generated using the receiver’s fingerprint biometric. Conclusion/Recommendations: By this way, the receiver ensures the genuineness of the sender and data confidentiality. Revocability is also guaranteed since we apply genetic operator to randomize the cryptographic key whenever it is necessary. By simulation results, we also show that the proposed method is more efficient mechanism for authentication and security.