Privacy‐Preserving Secure and Energy‐Efficient Data Exchange Scheme for Smart Precision Agriculture Networks

New methods for communication in precision agriculture are required to enable better crop productivity, minimize the leakage of personal information, and reduce computational complexity. Real‐time monitoring and automated decision making in precision agriculture are leading to better crop productivity, but current communication approaches face challenges in terms of computational complexity, leakage of personal information and energy efficiency. In smart agricultural networks, a lightweight and robust authentication and communication framework is presented to safeguard signaling and data transmission between users, controllers, and sensors. The proposed protocol uses the lightweight cryptographic primitives, dynamic session‐key establishment and privacy‐preserving authentication mechanism to achieve the security of communication between users, controllers and sensor nodes. It minimizes computation and communication overhead by inhibiting replay and impersonation attacks, as well as man‐in‐the‐middle attacks. By using the proposed model, a low latency, minimal energy consumption, and minimum communication costs can be achieved while maintaining security and scalability in comparison with existing methods. As an IoT‐based agricultural application framework and as part of an autonomous farming system, the framework is particularly suitable.