Blockchain and Fog Computing for Cyberphysical Systems: The Case of Smart Industry
Ouns Bouachir, Moayad Aloqaily, Lewis Tseng, Azzedine Boukerche

TL;DR
This paper explores how integrating blockchain with fog computing can enhance cyber-physical systems by improving security, data management, and computational efficiency in complex, adversarial environments.
Contribution
It provides a comprehensive overview of combining blockchain and fog computing to address key challenges in cyber-physical systems.
Findings
Blockchain enhances security and trust in cyber-physical systems.
Fog computing improves data management and computational efficiency.
The integration addresses challenges like security, trust, and data handling.
Abstract
Blockchain has revolutionized how transactions are conducted by ensuring secure and auditable peer-to-peer coordination. This is due to both the development of decentralization, and the promotion of trust among peers. Blockchain and fog computing are currently being evaluated as potential support for software and a wide spectrum of applications, ranging from banking practices and digital transactions to cyber-physical systems. These systems are designed to work in highly complex, sometimes even adversarial, environments, and to synchronize heterogeneous machines and manufacturing facilities in cyber computational space, and address critical challenges such as computational complexity, security, trust, and data management. Coupling blockchain with fog computing technologies has the potential to identify and overcome these issues. Thus, this paper presents the knowledge of blockchain and…
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