Abstract
We consider previously suggested by authors pseudo-random number generator based on fuzzy logic (FRNG) to increase its quality by increasing the period of generated series. To increase the period of FRNG we include 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 considering the randomness and security of the generated sequences. The resulted new versions of FRNG generate pseudo-random numbers which are more close to true random series that make it more suitable and attractive for many applications such as data security and cryptography.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
