Design and Implementation of chaotic nondeterministic random seed-based Hybrid True Random Number Generator
Mandakini Kadam, Saroja V. Siddamal, Shripad Annigeri
Abstract
Mandakini Kadam, Saroja V. Siddamal, Shripad Annigeri
Abstract
With the increase in the internet technology, security of information is the essential requirement. Security protocols make use of the cryptographic techniques to achieve the security of information. True random number generators (TRNG) are used as basic component in building cryptography. There is a demand for TRNG which generates random numbers. The random sequence generated must be statistical and non-predictable. This paper represents the design and implementation of statistical, non-predictable Hybrid TRNG. Chaotic oscillator designed using miller circuit is used as clock seed generator. Random seed generated at every clock is used as seed to Blum Blum Shub (BBS) algorithm which generates random sequence. The binary random sequence generated from simulation platform has passed all the test methods of NIST standard.
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With the increase in the internet technology, security of information is the essential requirement. Security protocols make use of the cryptographic techniques to achieve the security of information. True random number generators (TRNG) are used as basic component in building cryptography. There is a demand for TRNG which generates random numbers. The random sequence generated must be statistical and non-predictable. This paper represents the design and implementation of statistical, non-predictable Hybrid TRNG. Chaotic oscillator designed using miller circuit is used as clock seed generator. Random seed generated at every clock is used as seed to Blum Blum Shub (BBS) algorithm which generates random sequence. The binary random sequence generated from simulation platform has passed all the test methods of NIST standard.
Key concepts: Random number generation, Random seed, Computer science, NIST, Pseudorandom number generator, Cryptography, Nondeterministic algorithm, Random sequence