Enhancing security and privacy in biometrics-based authentication systems
IBM Systems Journal - End-to-end security
Chaos and NDFT-based spread spectrum concealing of fingerprint-biometric data into audio signals
Digital Signal Processing
The fractional Fourier transform and time-frequency representations
IEEE Transactions on Signal Processing
A high performance fingerprint liveness detection method based on quality related features
Future Generation Computer Systems
Chaos-based partial encryption of SPIHT coded color images
Signal Processing
A novel JFE scheme for social multimedia distribution in compressed domain using SVD and CA
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
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This paper presents a challenge/response-based biometric image scrambling scheme which attempts to overcome the liveness and retransmission issues of biometric image transmission over insecure communication channel. An intelligent biometric sensor is proposed which has computational power to receive challenges from authentication server and generates response against the challenge with encrypted biometric image. The fractional Fourier transform (FRT) has been used for a biometric image encryption process with its scaling factors and random phase masks as the secret keys. The random phase masks of FRT are chaotically generated by piecewise linear chaotic map (PWLCM) to further improve the encryption security. Experimental and simulation results have demonstrated that the proposed system is secure, robust, and deters the risks of attacks for secure biometric image transmission.