Visualization and Attack Prevention for a Sensor-Based Agricultural Monitoring System
This addresses security vulnerabilities in agricultural monitoring for farmers or system operators, but it appears incremental as it builds on existing sensor-based systems.
The paper tackles the problem of securing sensor-based agricultural monitoring systems by proposing a system that analyzes agricultural data and prevents common wireless network attacks, with experimental verification conducted.
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.