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A Quantum-Resilient Blockchain Framework to Secure Peer-to-Peer Energy Trading Systems

  • Thompson Rivers University
  • Algoma University
  • Université du Québec à Montréal

Résultats de recherche: Chapitre dans un livre, rapport, actes de conférenceParticipation à un ouvrage collectif lié à un colloque ou une conférenceRevue par des pairs

Résumé

The increasing adoption of electric vehicles (EVs) and distributed energy resources has led to the rise of peer-to-peer (P2P) energy trading, in which participants exchange energy within local markets. Blockchain technology has emerged as a secure and transparent solution for managing these transactions. However, the advancement of quantum computing poses a significant threat to the traditional cryptographic mechanisms used in blockchain systems. This paper proposes a quantum-safe blockchain framework designed specifically to secure P2P energy trading networks. The proposed system integrates quantum-resistant cryptographic techniques, including lattice-based cryptography and quantum key distribution (QKD), to safeguard transactions against quantum attacks. Additionally, a quantum-safe consensus mechanism, Quantum Delegated Proof of Stake (QDPoS), is introduced to enhance network security and scalability. Experimental evaluations demonstrate that the proposed approach improves transaction security while maintaining efficiency and reducing computational overhead. The findings highlight the need to integrate quantum-safe solutions into blockchain systems to ensure long-term security in decentralized energy trading networks.

langue originaleAnglais
titre2026 IEEE 5th International Conference on Computing and Machine Intelligence, ICMI 2026
rédacteurs en chefAhmed Abdelgawad, Akhtar Jamil, Alaa Ali Hameed
EditeurInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronique)9798331588540
Les DOIs
étatPublié - 2026
Modification externeOui
Evénement5th International Conference on Computing and Machine Intelligence, ICMI 2026 - Al-Ahsa, Arabie Saoudite
Durée: 8 avr. 202610 avr. 2026

Série de publications

Nom2026 IEEE 5th International Conference on Computing and Machine Intelligence, ICMI 2026

Conférence

Conférence5th International Conference on Computing and Machine Intelligence, ICMI 2026
Pays/TerritoireArabie Saoudite
La villeAl-Ahsa
période8/04/2610/04/26

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