Integration of AI-Based GNSS Security with 5G/6G Emergency Communication Systems for Earthquake Disaster Response

Dr. Surender Singh

Associate Professor Department of Computer Science Government First Grade College, Manhalli TQ & Dist.  Bidar.  State: Karnataka.

Abstract

Earthquake disaster environments require highly reliable, low-latency, and resilient communication systems to support emergency coordination, rescue operations, and situational awareness. Global Navigation Satellite Systems (GNSS), particularly GPS, play a crucial role in positioning and navigation; however, they are vulnerable to spoofing and jamming attacks that can severely compromise emergency response operations. At the same time, next-generation communication technologies such as 5G and emerging 6G networks provide ultra-reliable low-latency communication (URLLC), network slicing, and edge intelligence capabilities that can significantly enhance disaster resilience. This paper proposes an integrated framework that combines AI-based GNSS spoofing detection with 5G/6G emergency communication networks. The system leverages deep learning models (CNN, LSTM, and Autoencoders) for real-time anomaly detection and integrates them with 5G/6G network slicing, mobile edge computing (MEC), and software-defined networking (SDN). The proposed architecture ensures secure navigation, intelligent routing, and adaptive emergency communication during earthquake scenarios. Simulation results indicate improved detection accuracy, reduced latency, and enhanced network reliability compared to traditional systems.

Keywords

5G Networks, 6G Networks, GNSS Security, GPS Spoofing Detection, Earthquake Disaster Response, Edge Computing, Network Slicing, SDN, AI, Emergency Communication Systems