Thilakarathne Navod Neranjan, Bakar Muhammad Saifullah Abu, Abas Pg Emeroylariffion, Yassin Hayati
Faculty of Integrated Technologies, Universiti Brunei Darussalam, Gadong, BE1410, Brunei.
Sci Rep. 2025 Jan 31;15(1):3904. doi: 10.1038/s41598-025-85320-8.
The rapid proliferation of Internet of Things (IoT) devices has brought about a profound transformation in our daily lives and work environments. However, this proliferation has also given rise to significant security challenges, as cybercriminals increasingly target IoT devices to exploit vulnerabilities and gain access to sensitive data. This escalating threat landscape poses a severe issue across diverse domains where IoT is deployed, including agriculture, healthcare, and surveillance. In the realm of agriculture, where farmers have historically contended with pests and environmental challenges, a new adversary has emerged in the form of cyber criminals. The agriculture sector has witnessed a surge in cyber-attacks targeting smart agriculture solutions despite being a relatively recent addition to the industry. Farmers may not have control over the actions of cyber adversaries, but they possess the ability to make informed purchasing decisions when adopting smart farming solutions and implementing fundamental security measures, such as robust user credentials and regular system updates. In this regard, this research introduces a groundbreaking approach to addressing the cybersecurity concerns associated with smart agriculture-deception technology. Overall, deception technology involves the creation of deceptive elements, including decoys, traps, and false information, designed to divert cybercriminals away from genuine data and systems where this research presents a novel cyber threat intelligence platform that leverages deception technology to assess and mitigate the risks associated with smart agriculture as the first of its kind research. Based on the insights derived from the experimental work, actionable recommendations would be provided to relevant stakeholders on how to mitigate cyber risks and bolster the security posture of IoT-enabled smart agriculture. Overall, this innovative approach represents a significant step towards safeguarding the increasingly interconnected world of smart agriculture, offering a promising avenue for defending against the escalating cyber threats faced by this vital industry.
物联网(IoT)设备的迅速激增给我们的日常生活和工作环境带来了深刻变革。然而,这种激增也引发了重大的安全挑战,因为网络犯罪分子越来越多地将目标对准物联网设备,以利用漏洞并获取敏感数据。这种不断升级的威胁态势在物联网部署的各个领域都构成了严重问题,包括农业、医疗保健和监控领域。在农业领域,农民历来要应对病虫害和环境挑战,如今又出现了一种新的对手——网络犯罪分子。尽管智能农业解决方案相对较新,但农业部门针对智能农业解决方案的网络攻击激增。农民可能无法控制网络对手的行动,但他们在采用智能农业解决方案并实施基本安全措施(如强大的用户凭证和定期系统更新)时,有能力做出明智的购买决策。在这方面,本研究引入了一种开创性的方法来解决与智能农业欺骗技术相关的网络安全问题。总体而言,欺骗技术涉及创建欺骗元素,包括诱饵、陷阱和虚假信息,旨在将网络犯罪分子从真实数据和系统引开,本研究提出了一个新颖的网络威胁情报平台,该平台利用欺骗技术来评估和减轻与智能农业相关的风险,这是同类研究中的首例。基于实验工作得出的见解,将向相关利益攸关方提供关于如何减轻网络风险和加强物联网支持的智能农业安全态势的可行建议。总体而言,这种创新方法是朝着保障日益互联的智能农业世界迈出的重要一步,为抵御这个重要行业面临的不断升级的网络威胁提供了一条有前景的途径。