Vulnerability Assessment in the Smart Farming Infrastructure through Cyberattacks

Abstract

The Internet of Things (IoT) has a significant impact on agriculture. So-called Smart Farming uses drones and a variety of sensors to measure climate, irrigation, soil moisture or GPS position. With this rapid influx of technology increases the threat that vulnerabilities in those technologies are being exploited for malicious intent. To show the impact of cyberattacks on agriculture, we present a simulation of several attacks on a ZigBee-based wireless sensor network. We conduct a delay attack, an interference attack and three different routing attacks (sinkhole, blackhole and selective forwarding attack). Those attacks are simulated using NETA with the OMNET++ framework. We will show that the security of WSN is influenced by factors like energy consumption or computation power, which can conflict with other interests like low per-unit costs.