Biometric data encryption using 3-D chaotic system

Biometrics is gaining a lot of popularity as a tool to authenticate an individual using the unique biometric attributes. The exchange of biometric data over unsecured network channels makes it vulnerable to breach of security by illegal access. To overcome this challenge this paper proposes an efficient and secured chaos based encryption scheme having exceptionally desirable complex behavior which is difficult to predict and analyze. In this paper for shuffling the pixels of biometric data Arnold cat map is used and diffusion is also introduced after scrambling to make the encryption process non invertible. This method uses 3-D Chen chaotic system to change the statistical properties of biometric data so as to resist statistical attacks. Experimental results also show the resistant of proposed algorithm against perceptual and brute force attacks makes it suitable for transmission of biometric data over open and shared networks.