1 Independent Researcher, Ohio, USA.
2 Department of Agricultural Economics, Anambra State Polytechnic, Mgbakwu, Nigeria.
3 Independent Researcher, Lagos Nigeria
Review Article
World Journal of Advanced Research and Reviews, 2022, 15(03), 501-512
Received on 22 August 2022; revised on 24 September 2022; accepted on 28 September 2022
The integration of advanced technologies into agriculture has given rise to smart farms, which leverage Internet of Things (IoT) devices, sensors, data management systems, and automation to optimize farming operations. However, the increasing digitization of agriculture introduces significant cybersecurity challenges, including vulnerabilities in IoT devices, data breaches, and threats to automated systems. Addressing these challenges is crucial to ensuring the security, efficiency, and sustainability of smart farms. Artificial Intelligence (AI) has emerged as a pivotal technology in enhancing cybersecurity measures for smart farms. By employing machine learning and predictive analytics, AI can provide real-time monitoring and threat detection, identifying unusual activities and predicting potential threats before they manifest. AI-driven anomaly detection systems enhance the ability to spot deviations from normal operations, enabling early intervention. Additionally, AI-powered threat intelligence systems gather and analyze data from various sources to provide actionable insights and fortify defenses against cyber-attacks. Securing IoT devices in smart farms is another critical application of AI. By implementing secure communication protocols and robust authentication mechanisms, AI can protect these devices from unauthorized access and control. Furthermore, AI technologies ensure data integrity and privacy through advanced encryption methods and AI-based access control systems, safeguarding sensitive information from breaches. Automated security management is a significant advantage of AI in smart farms. AI can streamline patch management and software updates, ensuring that systems are always protected against the latest threats. In the event of a security incident, AI-driven incident response mechanisms can quickly mitigate damage and facilitate recovery. Despite the clear benefits, the deployment of AI in smart farm cybersecurity faces challenges such as data quality, integration complexity, and cost considerations. Nevertheless, ongoing advancements in AI and machine learning, coupled with collaborative efforts and regulatory support, hold promise for overcoming these obstacles. AI's role in enhancing cybersecurity is vital to the future of smart agriculture, providing a robust foundation for secure and efficient farming operations.
Artificial Intelligence; Cybersecurity; Smart farms; Review
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Adebunmi Okechukwu Adewusi, Njideka Rita Chiekezie and Nsisong Louis Eyo-Udo. The role of AI in enhancing cybersecurity for smart farms. World Journal of Advanced Research and Reviews, 2022, 15(3), 501-512. Article DOI: https://doi.org/10.30574/wjarr.2022.15.3.0889