The ubiquity of the Global Positioning System (GPS) has cemented its role as the cornerstone for an array of location-based services and navigation systems spanning applications from autonomous vehicles and drones to maritime vessels and wearable technology. Nonetheless, ensuring the integrity of reported geographical coordinates poses a formidable challenge, owing to the proliferation of diverse GPS spoofing tools. This predicament is compounded by the pervasive availability of tools like Fake GPS, Lockito, and software-defined radios, enabling even unsophisticated users to disseminate counterfeit GPS coordinates. This dissertation devises an encompassing and resilient framework, integrating a multi-sensor assemblage comprising camera and motion sensors. The principal objective is the identification and mitigation of GPS spoofing attack across a spectrum of driving scenarios, increase the levels of security and trustworthiness for autonomous vehicles and many other applications.

Peng Jiang is a Ph.D. candidate in the Electrical and Computer Engineering department at Old Dominion University, USA. He received his BS degree in Electrical and Computer Engineering at the Chongqing University of Post and Telecommunication, China, and an ME degree in Electrical and Computer Engineering department at Old Dominion University, USA. His research interests span broad areas of cybersecurity, AI, autonomous vehicles, and wireless communication. His primary research focuses on integrating the multi-modal sensor system to secure the location security of autonomous vehicles and drones.