5 papers analyzed
These studies suggest that IIoT security monitoring must address scalability, interoperability, security, privacy, reliability, and low latency, while also implementing specific anomaly detection methods, multifaceted approaches for industrial control systems, and optimized frameworks for data acquisition and processing.
The Industrial Internet of Things (IIoT) is revolutionizing industrial processes through remote monitoring, intelligent analytics, and control. However, the integration of IIoT systems introduces significant security challenges that need to be addressed to ensure the reliability and safety of industrial operations. This synthesis explores the key challenges and considerations in IIoT security monitoring based on recent research findings.
Scalability, Interoperability, and Low Latency Requirements:
Unique Security Challenges in IIoT Networks:
Resource Constraints and Security Vulnerabilities:
Data Security in Edge Intelligent IIoT:
The integration of IIoT systems into industrial processes brings about significant security challenges that need to be addressed to ensure system reliability and safety. Key considerations include addressing scalability, interoperability, and low latency requirements, defending against unique cyber-attacks, managing resource constraints, and enhancing data security through edge intelligence. Emerging technologies such as edge/fog computing, blockchain, and machine learning play a crucial role in mitigating these challenges and improving the overall security of IIoT systems.
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