Kirchhoff Law Johnson noise key generation for secure decentralized identifiers

This paper experimentally integrates an existing Kirchhoff-Law-Johnson-Noise (KLJN) physical key exchange scheme as a source of truly random keys for decentralized identifiers (DIDs). Web 3.0 is driven by secure keys, typically represented in hexadecimal, that are pseudo-randomly generated by an initialization vector and complex computational algorithms. We demonstrate that the statistical physical KLJN scheme eliminates the additional computational power by naturally generating physically random binary keys to drive the creation of DIDs that are appended to an Ethereum blockchain.

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Publication Details

Journal
Scientific Reports
Published
2026-01-08
DOI
https://doi.org/10.1038/s41598-025-34403-7
Primary Topic
Advanced Statistical Modeling Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Kirchhoff Law Johnson noise key generation for secure decentralized identifiers

Srujan Kotikela, Christiana Chamon, Sarah A. Flanery, Kamalesh Mohanasundar
Scientific Reports
Advanced Statistical Modeling Techniques
article

Kirchhoff Law Johnson noise key generation for secure decentralized identifiers

Srujan Kotikela, Christiana Chamon, Sarah A. Flanery, Kamalesh Mohanasundar
article en

Abstract

This paper experimentally integrates an existing Kirchhoff-Law-Johnson-Noise (KLJN) physical key exchange scheme as a source of truly random keys for decentralized identifiers (DIDs). Web 3.0 is driven by secure keys, typically represented in hexadecimal, that are pseudo-randomly generated by an initialization vector and complex computational algorithms. We demonstrate that the statistical physical KLJN scheme eliminates the additional computational power by naturally generating physically random binary keys to drive the creation of DIDs that are appended to an Ethereum blockchain.

Scientific ReportsVol. 16(1)
The University of Texas at Dallas (US), Virginia Tech (US), Texas A&M University (US)
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Openalex Percentile: Top 94%
Advanced Statistical Modeling Techniques
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