Abstract
Pseudorandom number generator (PRNG) generates a sequence of numbers whose properties approximate the properties of sequences of random numbers. The sequence is not truly random as it can be regenerated by some initial values called seed. Pseudorandom sequence has a wide range of applications in science and engineering like modeling and simulation, encryption, gambling, gaming, etc. Chaos theory has established itself a good choice for pseudorandom sequence generation due its intrinsic properties like ergodicity, sensitivity to initial condition, etc. Several non-chaotic methods have also established with dignity for pseudorandom number generation. In this paper, we have proposed a non-chaotic method for pseudorandom sequence generation. Regula-Falsi method is used as the backbone for the said. NIST randomness test and several other tests have proved the randomness of the generated sequence and have established it as a suitable alternative for pseudorandom sequence generation.
