农业 4.0 和 5.0 中的网络安全威胁和缓解措施

IF 6.3 Q1 AGRICULTURAL ENGINEERING Smart agricultural technology Pub Date : 2024-10-28 DOI:10.1016/j.atech.2024.100616
Chrysanthos Maraveas , Muttukrishnan Rajarajan , Konstantinos G Arvanitis , Anna Vatsanidou
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引用次数: 0

摘要

本研究的主要目的是探讨农业 4.0 和 5.0 中的网络安全威胁以及可能的缓解策略。研究采用了第二种方法,即叙事回顾法,对许多有关网络安全的研究进行了抽样和分析。研究表明,增加农业组织网络安全威胁的主要风险包括网络安全实践不佳、缺乏网络安全法规和政策以及 IT 软件过时。此外,审查表明,农业 4.0 和 5.0 的主要网络安全威胁涉及拒绝服务攻击,这些攻击以服务器为目标,破坏相关智能技术的运行,包括牲畜跟踪、气候监测、物流和仓储以及作物监测设备。分析还显示,恶意软件攻击发生时,黑客会更改系统应用程序的代码,以访问敏感的农场相关数据,并可能改变数字化系统的运行。网络安全漏洞造成的一些影响包括数据丢失、数字化系统效率降低和食品安全性下降。针对网络安全威胁的一项重要缓解战略包括使用人工智能(AI)、区块链和量子计算等先进技术,以改进物联网(IoT)数字设备中的恶意软件检测,并确保对任何威胁做出更快的反应。其他缓解措施包括对员工进行最佳网络安全实践培训,以及制定最佳网络安全实践指南和监管标准。
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Cybersecurity threats and mitigation measures in agriculture 4.0 and 5.0
The primary aim of this study was to explore cybersecurity threats in agriculture 4.0 and 5.0, as well as possible mitigation strategies. A secondary method was employed involving narrative review in which many studies on cybersecurity were sampled and analyzed. The study showed that the main risks that increase cybersecurity threats to agricultural organizations include poor cybersecurity practices, lack of regulations and policies on cybersecurity, and outdated IT software. Moreover, the review indicated that the main cybersecurity threat in agriculture 4.0 and 5.0 involves denial of service attacks that target servers and disrupt the functioning of relevant smart technologies, including equipment for livestock tracking, climate monitoring, logistics and warehousing, and crop monitoring. The analysis also revealed that malware attacks occur when hackers change the code of a system application to access sensitive farm-related data and may alter the operations of the digitized systems. Some of the impacts of cybersecurity breaches were noted to include data loss, reduced efficiency of digitized systems, and reduced food security. A crucial mitigation strategy against cybersecurity threats includes using advanced technologies such as artificial intelligence (AI), blockchain, and quantum computing to improve malware detection in Internet of Things (IoT) digital equipment and ensure faster response to any threats. The other mitigation measures include training employees on best cybersecurity practices and creating guidelines and regulatory standards on best cybersecurity practices.
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