Citation
Devi, B. Durga and Janani, U. and Manuel, M. L. Alphin Ezhil and Thirumalaisamy, Manikandan and Shunmugam, Ramesh and Yogarayan, Sumendra (2026) Comparative Analysis of Cybersecurity Frameworks for Precision Agriculture. In: 9th International Conference on Micro-electronics and Telecommunication Engineering, ICMETE 2025, 4 December 2025 - 5 December 2025, Ghaziabad.|
Text
Comparative Analysis of Cybersecurity Frameworks for Precision Agriculture _ Springer Nature Link.pdf - Published Version Restricted to Repository staff only Download (734kB) |
Abstract
Precision Agriculture (PA) employs technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Big Data analytics to improve efficiency, optimize resources, and enhance sustainability. However, these advancements introduce cybersecurity risks, including data breaches, ransomware, and system disruptions, threatening operational integrity and food security. This paper compares major cybersecurity frameworks applicable to PA, including NIST Cybersecurity Framework (NIST CSF), ISO/IEC 27001, Critical Security Controls (CIS Controls), Agricultural Cybersecurity Framework (Agri-Secure), and IoT Security Frameworks. The evaluation considers scalability, cost, integration, and coverage of PA-specific threats. Case studies from large farms to small cooperatives illustrate implementation outcomes. Results show that framework suitability varies by operation size and technological adoption. The study emphasizes the need for tailored cybersecurity strategies, ongoing adaptation, and stakeholder collaboration to ensure the resilience and reliability of precision agriculture systems.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Agricultural cybersecurity |
| Subjects: | Q Science > Q Science (General) > Q300-390 Cybernetics |
| Divisions: | Faculty of Information Science and Technology (FIST) |
| Depositing User: | Ms Rosnani Abd Wahab |
| Date Deposited: | 30 Oct 2026 04:34 |
| Last Modified: | 30 Oct 2026 04:34 |
| URII: | http://shdl.mmu.edu.my/id/eprint/17040 |
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