Agricultural Internet of Things (AIoTs) Threat Modeling Using STRIDE-LM

To meet the ever-rising food requirements around the world and mitigate the effects of climate change and shortage of agricultural land, farmers are now adopting the Agricultural Internet of Things (AIoT) for intelligent agriculture, which helps to increase farm productivity. AIoT enables a data-driven agriculture model, enabling farmers to make informed decisions. The research paper will briefly discuss the application of AIoT in crop and livestock production. Components of AIoT architecture in crop and livestock production will be identified. Threats to AIoT were modeled using Spoofing, Tampering, Repudiation, Information Disclosure, Denial of service, and Elevation of Privilege Lateral Movement (STRIDE-LM). The research identified different threats to AIoT grouped into the different STRIDE_LM categories.