Randomness quality of keys becomes an essential in secure communications, since the security of modern cryptographic techniques relies on unpredictable and irreproducible digital keys which are generated by random number generator (RNG). This study focuses on the effects of characteristic polynomial in linear feedback shift registers (LFSR) for randomness quality. RNG's output is produced by integrating binary random source based on optic and LFSR. In this observation, randomness of the RNG's output with different characteristic polynomials has been tested using National Institute of Standards & Technology (NIST) test. The result shows that RNG with LFSR which is characterized by a feedback being a primitive polynomial of n-1 passes all the NISTstandard statistical tests.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.