Visualization and Attack Prevention for a Sensor-Based Agricultural Monitoring System

This project proposes a sensor-based visual agricultural monitoring system. Distinguished from traditional agricultural monitoring systems, this system further analyzes basic agricultural data and prevents and monitors common wireless network attacks such as Selective Forwarding, Black Hole Attacks, Sinkhole Attacks, Flooding Attacks and Misdirection Attacks. Experimental verification and evaluation of the attack prevention and monitoring are also conducted.