Guest Editors
Dr. Randhir Kumar, Department of Computer Science & Engineering, SRM University, AP, India;
Dr. Prabhat Kumar, LUT School of Engineering Science, LUT University, Finland;
A.K.M Najmul Islam, LUT School of Engineering Science, LUT University, Finland.
Summary
The primary focus of Industry 4.0 is to enable autonomous decision-making processes, and real-time asset and process monitoring in a variety of industries, including manufacturing and its logistical supply chain, transportation, and healthcare. This is achieved through the provision of intelligence between devices and applications, thereby reducing the intervention of humans in the manufacturing process. In addition, mobile communications and the rollout of 5G could be key enablers for Industry 4.0, allowing new levels of connection and automation on factory floors. The 5G era ushers in the next generation of connectivity by increasing data transmission speed and precision in operations, optimizing the effectiveness of operations between industrial devices, and improving connectivity, all of which leads to fewer operational errors and higher production performance. To enable connected, intelligent industrial applications, a large amount of data will be shared between machines via an edge-cloud based platform, and the transport of such large data could be a problem as it passes through public channels, which could be a target of cyber-attacks. To this end, ensuring the integrity, security, privacy, validity, and non-repudiation of data are topical for 5G-assisted Industry 4.0 applications. The inherent linked intelligence in telecommunication networks, along with blockchain and Artificial Intelligence (AI) technologies, will be one of the significant driving factors in 5G-assisted Industry 4.0 applications. AI has demonstrated substantial success in converting huge and complicated information into highly accurate knowledge as an output, which may considerably simplify analysis, intelligence, decision-making, and automation across a variety of systems. Despite the benefits of the integration of AI and blockchain with various intelligent systems, there are still challenges with respect to the configurations of the deployed architecture, AI algorithms, as well as the blockchain technologies.
This special issue is devoted to current breakthroughs and future research findings in security and privacy for next-generation 5G-assisted Industry 4.0 applications driven by AI and blockchain, as well as associated theoretical and practical concerns. It also intends to create a great forum for international scholars and practitioners to come up with new approaches to the key challenges.
Keywords
Novel theories, concepts, and paradigms of the Convergence of AI, blockchain, and Edge-Cloud for 5G-assisted Industry 4.0
Lightweight encryption and key management in 5G-assisted Industry 4.0
Authentication for 5G-assisted Industry 4.0 environment
AI enhanced security in 5G-assisted Industry 4.0
Blockchain-based security for 5G-assisted Industry 4.0
Data security in 5G-assisted Industry 4.0
Testbed, prototype implementation and security applications for 5G-assisted Industry 4.0
Malware and intrusion detection in 5G-assisted Industry 4.0
Blockchain and AI schemes for decentralization in 5G-assisted Industry 4.0
Cyber threat intelligence in industrial automation and control systems
Theories and models for detection and analysis of advanced persistent threats
Intelligent forensics tools, techniques and procedures
Emerging trends and computing paradigms for configuration security
Lightweight deep learning models and blockchain based architectures for 5G-assisted Industry 4.0
End-edge-cloud computing enabled by smart contract and blockchain in 5G-assisted Industry 4.0
Decentralized, federated and collaborative learning for 5G-assisted Industry 4.0
Energy-efficient communication protocols for 5G-assisted Industry 4.0 powered by AI and blockchain
Case studies of sustainable Computing for emerging 5G-assisted Industry 4.0 applications powered by AI and blockchain
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