An Input Based Random Number Generator | Zendy

P. K. Yadav | Zendy; Surjeet Kumar | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

An Input Based Random Number Generator

Author(s) -

P. K. Yadav,

Surjeet Kumar

Publication year - 2019

Publication title -

international journal of recent technology and engineering (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.d8870.118419

Subject(s) - randomness , random number generation , computer science , generator (circuit theory) , random seed , computer network , convolution random number generator , degree (music) , theoretical computer science , random function , distributed computing , algorithm , mathematics , random variable , statistics , power (physics) , physics , quantum mechanics , acoustics

The this research article, a neoteric technique is introduced to generate four digit random number for authenticating a user as well as increasing the security of wireless and wired networks by using input based random number generator. An input based random number generator uses number conversion technique and some logical operations. Though the degree of randomness of generated number will not become very high but this hypothesis will increase the security in different areas of computer and sensor network.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research