Cyber-physical systems are engineered systems that integrate computation, networking, and physical processes. These systems use sensors to monitor physical conditions and actuators to control physical processes, with computational algorithms mediating the relationship between the physical and digital realms. They are characterized by their feedback loops where physical processes affect computations and vice versa.
Context
The application of cyber-physical systems in the blockchain and digital asset space is an emerging area, potentially impacting supply chain management, IoT device integration with decentralized networks, and secure physical asset tokenization. News might report on pilot programs or research into using these systems for verifiable tracking of goods or for creating new forms of digital representation for tangible assets. Their integration promises novel applications where the digital and physical worlds intersect.
This research introduces a novel hybrid blockchain-SDN framework, leveraging dual-layer consensus and trust-aware clustering to secure IoT routing while optimizing energy.
Integrating large language models with formal verification tools streamlines natural language requirements into verifiable code, significantly reducing manual effort.
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