Abstract:
This thesis investigates the application of the Cross Ambiguity Function (CAF) technique, Carrier to Noise Ratio (C/NO) monitoring, and the Ab normal Position Check in mitigating spoofing attacks in GNSS-SDR sy tems. The analysis is conducted using MATLAB, Python, and the GNSS- SDR software framework on an Ubuntu operating system. These tools serve as the foundation for analyzing the performance of the techniques in detecting and countering spoofing attacks. The analysis utilizes simulated data from the Texas Spoofing Test Battery (TEXBAT), a comprehensive dataset encompassing a wide range of spoofing attacks. The research focuses on incorporating CAF, C/NO monitoring, and the Abnormal Position Check during the acquisition phase of the GNSS-SDR system. These techniques are assessed for their efficacy in identifying and mitigating various spoofing attack scenarios. The CAF technique com- pares the received signal to an anticipated replica, C/NO monitoring ex- amines the stability of the carrier to noise ratio, and the Abnormal Position Check identifies latitude, longitude, and altitude abnormality. The findings demonstrate that the combined use of these techniques, implemented with the support of MATLAB, Python, and the GNSS-SDR software framework, effectively detects and mitigates spooling attacks. This highlights the im- portance of integrating anti-spoofing measures into GNSS-SDR systems to ensure system integrity and security. By employing these techniques to- gether, a comprehensive and robust solution to tackle GNSS spoofing is achieved, ultimately enhancing overall system performance and depend- ability.
