Table 4 Simulation environment component and description.
Category | Details |
|---|---|
Simulation Platform | MATLAB/Simulink, NS3, OMNeT++, Python (SimPy, Scapy) |
Operating System | Ubuntu 20.04 LTS |
Processor | Intel Core i7-12700Â K (12th Gen, 3.6Â GHz) |
Cybersecurity Tools | Mininet (Network Simulation), TensorFlow/PyTorch (AI-based Anomaly Detection), OpenSSL (Encryption) |
Hardware Requirements | 32GB RAM, Multi-core CPU, GPU acceleration for AI-based models |
EV Grid Components | Charging Stations, Communication Networks (OCPP, MQTT), Cloud-based Management Systems |
Attack Vectors | MiTM, FDI, DoS, Cloud API Exploits |
Defence Mechanisms (Grid Sentinel Framework) | AI-based Anomaly Detection (LSTM, Random Forest), End-to-End Encryption (TLS 1.3, AES-256, PKI), Real-time Monitoring (Wireshark, Zeek, Smart Contracts) |
Security Performance Metrics | Detection Accuracy (%), False Positive Rate (FPR), False Negative Rate (FNR) |
Network Efficiency Metrics | Latency (ms), Packet Loss Rate (%) |
System Reliability Metrics | EV Charging Success Rate (%), Response Time (ms) |
Expected Outcomes | High Detection Accuracy (> 90%), Reduced Security Vulnerabilities, Minimal Service Disruption |
