Blockchain-based UAV-assisted Forest Fire Detection and Monitoring System

Forest fire detection and resource monitoring are the focus of forest resource protection, but they often suffer from internal attacks. Insider attackers try to get away with illegal activities such as illegal logging and encroachment on forest resources by manipulating data. Illegal activities pose a huge threat to forest resources, so defending against internal attacks is key to forest regulation systems. This paper presents a blockchain-based forest fire detection system (FFD) in a multi-party environment. FFD introduced the blockchain + database architecture for data storage and designed a hybrid encryption and decryption algorithm using CP-ABE and AES algorithms to realize data sharing and access control so as to ensure data security. The artificial intelligence technology is employed to identify fires, reducing the human factor in fires. Theoretical analysis and experimental data show that FFD has high performance and is suitable for forest fire detection and monitoring.