Increasing the quality of pseudo-random number generator based on fuzzy logic

Abstract

We consider previously suggested by authors pseudorandom number generator based on fuzzy logic (FRNG) and increase its quality by increasing the period of generated series. To increase the period of FRNG we use more LFSRs in its structure. At the beginning we will study the case of combining four LFSRs in constructing the FRNG then the case of using eight LFSRs. The new version of FRNG generates pseudorandom numbers which are more close to true random series that make it more suitable and attractive for many applications related to data security and cryptography.