A Secure and Lightweight Drones-Access Protocol for Smart City Surveillance

The rising popularity of ICT and the Internet has enabled Unmanned Aerial Vehicle (UAV) to offer advantageous assistance Vehicular Ad-hoc Network (VANET), realizing a relay node’s role among disconnected segments in road. In this scenario, communication is done between Vehicles UAVs (V2U), subsequently transforming into UAV-assisted VANET. VANET allows users access real-time data, especially monitoring data smart cities using current mobile networks. Nevertheless, due open nature infrastructure, high mobility vehicles along with security privacy constraints are significant concerns these scenarios, Deep Learning Algorithms (DLA) could play an effective security, privacy, routing issues Keeping mind, we have devised DLA-based key-exchange protocol for proposed extends scalability uses secure bitwise XOR operations, one-way hash functions, including user’s biometric verification when drones mutually authenticated. can resist many well-known attacks provides formal informal under Random Oracle Model (ROM). comparison shows that outperforms performance terms running time cost features compared other related protocols.