Detection and Mitigation of GNSS Spoofing Attacks in Maritime Environments Using a Genetic Algorithm

Due to the high reliance of daily activities on Global Navigation Satellite System (GNSS), its security is one major concerns for research and industry. Most navigation mobile-driven location-based services use GNSS render services. low power easy access signals, these signals are vulnerable spoofing other types attacks. Recently many attacks have been identified in road- maritime-based environments. This study provides a technique detect counter attack maritime environment. uses Receiver Autonomous Integrity Monitoring (RAIM) model with Least Square Estimation (LSE) Proportional Integral Derivative (PID) Control attack. The proposed based concept genetic algorithm devices, such as inertial sensors pilot options ship. A case using AIS dataset simulation MATLAB NS3 provided validate performance approach. Nine different voyages from were considered check accuracy algorithm. was analyzed correctly result shows that identifies an average value 90 percent. For analysis nine routes traversed multiple times. Root mean square error used calculate positional mismatch (error rate). Based combined results analysis, RMSE 0.28. In best-case scenario, approach 0.009.