Robustness Analysis and Security Measures in IoT-Based Smart Fuel Filling Systems

The growing integration of Internet of Things (IoT) technology into smart fueling systems has greatly improved operational efficiency and resource management. However, as these systems get more complicated and interconnected, guar-anteeing their robustness and security becomes increasingly important. This study provides a complete examination of the robustness and security measures used in IoT-based smart fuel filling systems. We examine the available literature to identify potential risks and challenges associated with these systems. We then present a methodology for evaluating system robustness in the face of diverse environmental conditions, hardware failures, and software vulnerabilities. In addition, we examine the use of security measures such as data encryption, access control mechanisms, and intrusion detection systems to protect against cyber threats and illegal access. We assess the effectiveness of these strategies in risk mitigation and resilience enhancement of smart gasoline filling systems using simulations and real-world trials. Our findings help system designers, operators, and governments improve the security and dependability of IoT-enabled fuelling infrastructure.