Blockchain Integrated Framework to Detect and Prevent CAV Location Spoofing Attack Using GPS Time Series Data Learning and Quantum Cryptography

Connected and Autonomous Vehicles (CAVs) are a category of vehicles that combine connectivity, automation, and advanced technologies to enhance transportation efficiency, safety, and convenience. A CAV GPS spoofing attack refers to a type of cybersecurity threat aimed at Connected and Autonomous Vehicles (CAVs) by manipulating their Global Positioning System (GPS) navigation data. GPS spoofing involves transmitting fake GPS signals to mislead (CAVs) on-board GPS receivers, causing them to make incorrect location and navigation decisions. The project aims to tackle these challenges by integrating blockchain technology for data integrity, LSTM algorithms for analyzing GPS time series data, and quantum cryptography for secure communication.