Projects
Detecting Anomaly & GPS-Assisted Geofence Bypass Attacks in UAVs
UAV Anomaly Detection
Detecting Anomaly & GPS-Assisted Geofence Bypass Attacks in UAVs - by Mohamed Afeed Nawsath
PX4 SITL and AirSim Simulation
Detecting Anomaly & GPS-Assisted Geofence Bypass Attacks in UAVs - by Mohamed Afeed Nawsath
flight path anomaly detection
I am a Cyber Security student at Staffordshire University with a strong interest in Network infrastructure and AI and emerging technologies. My project focuses on detecting GPS-assisted geofence bypass attacks in UAVs using sensor fusion and LSTM-based anomaly detection. The system combines telemetry data from multiple sensors to identify abnormal flight behaviour and improve UAV security. The project achieved 94.7% detection accuracy with a 0% false positive rate, demonstrating the potential of intelligent detection methods for securing autonomous systems.
https://www.linkedin.com/in/mohamed-afeed-nawsath-82d73d
https://github.com/Afeed06
Type of employment sought
I am seeking graduate and placement opportunities within Cyber Security, including roles in Network Infrastructure, Digital forensics, Security Operations, Threat Intelligence, Cyber Security Analysis, Incident Response
Areas available to work
preferably within Greater London however willing to relocate
Contact Mohamed Afeed