Protective system for drones against GPS spoofing using image and signal analysis
Year: 2024
Type: conference-paper
Abstract: Drones play a critical role in air navigation, serving various safety-of-life and positioning, navigation, and timing applications. However, the increasing use of Drones has led to a rise in GPS spoofing attacks. This work aims to protect Drone GPS systems by enabling the detection of spoofing attacks. The proposed solution involves utilizing a pretrained ResNet36 model for image analysis, comparing images captured by drones with satellite images of the same locations. Simultaneously, we explored RF signal processing using a diverse dataset containing both clean and distorted signals. By integrating PCA data with a LSTM, our solution achieved an impressive 100% accuracy in classifying spoofed signals.
Authors: Meenal Jain, Akshat Jain, Anita Sahoo
Institution: Jaypee Institute of Information Technology
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4403882741