English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

This paper presents a statistical physical generation of random keys for adecentralized identity ecosystem that uses Web 3.0 protocols. Web 3.0 is drivenby secure keys, typically represented in hexadecimal, that are pseudo-randomlygenerated by an initialization vector and complex computational algorithms. Wedemonstrate that the statistical physical Kirchhoff-law-Johnson-noise (KLJN)scheme eliminates the additional computational power by naturally generatingtruly random binary keys to drive the creation of decentralized identifiers(DIDs) that are appended to an Ethereum blockchain.

Kirchhoff-Law Johnson Noise Meets Web 3.0: A Statistical Physical Method of Random Key Generation for Decentralized Identity Protocols