Quantum threat and dependability of quantum-safe blockchain-based distributed control systems and network

Quantum computing and blockchain technology are two rapidly advancing fields in modern computing. While blockchain provides decentralized trust and security, cryptography ensures data confidentiality and integrity. However, the vulnerability of traditional cryptographic algorithms to brute-force attacks by quantum computers poses a threat to existing blockchain security mechanisms. This research aims to construct a model and analyze Quantum-Secured Blockchain-based Distributed Control Systems and networks, specifically focusing on industrial plant applications and networked DCS. The methodology involves a comprehensive literature review to identify quantum-resistant algorithms, cryptographic primitives, and blockchain consensus mechanisms. These components form the foundation for designing a quantum-secured blockchain-based distributed control system model. The model incorporates crucial factors like network latency, node failures, and quantum attack scenarios to assess system availability under various conditions. Simulations are conducted using representative attack scenarios to evaluate the proposed model's performance and effectiveness. The research findings contribute to the emerging field of quantum-secured blockchain technology, shedding light on dependability challenges and opportunities. Additionally, the outcomes provide practical guidelines for developing and deploying secure and available distributed control systems and networks in the era of quantum computing.