Retina Random Number Generator for Stream Cipher Cryptography

Biometric is the measurement of behavioral and physiological characteristics for the human, generally used either for identification or verification, but it is also can be used as a key for different security applications. Among different biometric characteristics such as ears, voice, fingerprint, face, retina, iris, palm print, hand geometry, etc., the retina biometric can provide a higher level of security because of its inherent robustness. The main aim of this paper is to design and build a pseudorandom number generator based on the retina for stream cipher cryptography. The proposed system is based on the use of hybrid technology that consists of the characteristics of human retina and logistic functions to generate keys with high-quality specifications in terms of unpredictability, randomization, and non-re-generation. The NIST Package and correlation statistical tests prove that the generated keys are random, unpredictable, uncorrelated, and robust against different kinds of attack. The retina image keys are capable of passing most of the NIST statistical tests with high success rates also the average security test prove that the encrypted text is secure against entropy attack.