The concept of traditional farming is changing rapidly with the introduction of smart technologies like the Internet of Things (IoT). Under the concept of smart agriculture, precision agriculture is gaining popularity to enable Decision Support System (DSS)-based farming management that utilizes widespread IoT sensors and wireless connectivity to enable automated detection and optimization of resources. Undoubtedly the success of the system would be impacted on crop productivity, where failure would impact severely. Like many other cyber-physical systems, one of the growing challenges to avoid system adversity is to ensure the system's security, privacy, and trust. But what are the vulnerabilities, threats, and security issues we should consider while deploying precision agriculture? This paper has conducted a holistic threat modeling on component levels of precision agriculture's standard infrastructure using popular threat intelligence tools STRIDE to identify common security issues. Our modeling identifies a noticing of fifty-eight potential security threats to consider. This presentation systematically presented them and advised general mitigation suggestions to support cyber security in precision agriculture.
翻译:随着智能农业概念的引入,传统农业的概念正在迅速变化。根据智能农业的概念,精准农业正在变得日益受欢迎,从而使得决策支持系统(DSS)的农业管理能够利用广泛的IOT传感器和无线连接来自动检测和优化资源。毫无疑问,这个系统的成功将影响到作物生产力,因为失败将对作物生产力产生严重影响。像许多其他网络物理系统一样,避免系统逆境的日益严峻的挑战之一是确保系统的安全、隐私和信任。但是,在部署精准农业时,我们应该考虑的弱点、威胁和安全问题是什么?本文用大众威胁情报工具STRAIDE对精准农业标准基础设施的构成部分水平进行了全面的威胁模型分析,以确定共同的安全问题。我们的模型确定了需要考虑的五十八种潜在安全威胁的备注。这个模型系统地介绍了它们,并提出了一般的缓解建议,以支持精准农业的网络安全。