Cyber-Resilient IoT-Driven SCADA Integration for Secure and Intelligent Fuel Station Monitoring and Predictive Analysis

Description

Cyber-Resilient IoT-Driven SCADA Integration for Secure and Intelligent Fuel Station Monitoring and Predictive Analysis provides a complete framework for modernizing fuel station operations by combining the Internet of Things (IoT), Supervisory Control and Data Acquisition (SCADA), Artificial Intelligence (AI), and cybersecurity. The book suggests a robust architecture that blends real-time industrial control, edge computing, cloud analytics, and machine learning to boost operational efficiency, identify fuel leaks and fraud, improve predictive maintenance, and reinforce cyber resilience. It analyzes secure communication protocols, anomaly detection approaches, predictive analytics, and defense-in-depth strategies for critical infrastructure protection using international standards such as NIST SP 800-82 and IEC 62443. The book demonstrates how intelligent IoT-SCADA integration may result in safer, smarter, and more sustainable fuel station management via a practical prototype and performance evaluation. It is an invaluable resource for researchers, engineers, industry practitioners, and students studying industrial automation, cybersecurity, smart energy systems, and Industry 4.0 tech