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

TL;DR

This paper introduces a sensor-based agricultural monitoring system that not only visualizes data but also detects and prevents various wireless network attacks, enhancing security in agricultural IoT deployments.

Contribution

It presents a novel system that integrates data visualization with attack detection and prevention for agricultural sensor networks.

Findings

Effective detection of multiple wireless attacks

Successful prevention of network attacks in experiments

Enhanced security for agricultural monitoring systems

Abstract

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.