Performance evaluation of a quantum-resistant Blockchain: a comparative study with Secp256k1 and Schnorr

Nday Kabulo Sinai, Hoh Peter In

Research output: Contribution to journalArticlepeer-review

Abstract

Popular Secp256k1 and Schnorr algorithms offer strong security in current Blockchains. However, they are vulnerable to quantum attacks. To solve this problem, several quantum-resistant algorithms have been proposed. However, the performance evaluations and tangible analyses of these algorithms on current Blockchains have not been studied yet. In this context, a performance analysis of quantum-resistant algorithms on a Blockchain can provide valuable insight into the efficiency of quantum-resistant algorithms in real-world scenarios. To address this need, we prototyped and analyzed a quantum-resistant Blockchain using the Falcon algorithm. Falcon is selected because it provides smaller signature and key size compared to Crystals-Dilithium and Sphincs+. We then measured in real-time the key size, transaction signature size, and transaction verification time. The paper also discusses the potential scalability limitations of the proposed quantum-resistant Blockchain and suggests an approach to select quantum-resistant algorithms based on different Blockchain use cases. Our approach and benchmark results have implications for the future development and adoption of quantum-resistant Blockchains.

Original languageEnglish
Article number99
JournalQuantum Information Processing
Volume23
Issue number3
DOIs
Publication statusPublished - 2024 Mar

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Keywords

  • Blockchain
  • Falcon
  • Quantum-resistant algorithm
  • Schnorr
  • Secp256k1

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Statistical and Nonlinear Physics
  • Theoretical Computer Science
  • Signal Processing
  • Modelling and Simulation
  • Electrical and Electronic Engineering

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