An intelligent agriculture network security system based on private blockchains

Countries around the world are nowadays actively promoting development in intelligent agriculture. Each of them must develop a specific plan tailored to environmental farming indices of each individual farm, and such information would be both important and sensitive. This is why information in intelligent agriculture requires protection from network security to ensure data privacy and integrity. This study proposes applying dark web technology to ensure the privacy of blockchains and servers. The study will monitor packet transmission frequency in intelligent agriculture to prevent distributed denial-of-service (DDOS) attacks. The main features of system include: (1) An identity authentication mechanism, (2) secure transmission of information, (3) establishment of private blockchains, (4) a faster, improved authentication system for blockchain information, and (5) resistance against DDOS attacks. The proposed scheme can safeguard network security for the IoT as well as the servers by way of applying dark web technology, which can avoid exposure of blockchains and server ID addresses and thus in turn lower the risks of DDOS attack damages. Experiment results indicate that the application of lightweight encryption of proposed scheme does indeed improve the authentication speed while also satisfying requirements of network security.