Intelligent Fortification of Agricultural Data Integrity
Rajya Vardhan, Rohan Kumar, P Supraja · 2024
The proliferation of the Internet of Things (loT) devices in agriculture has transformed data collecting, allowing for real-time monitoring and analysis, which is crucial for optimizing agricultural methods. However, the vulnerability of this dynamic agricultural data to cyber threats Jeopardizes the information's integrity and trustworthiness. This research study proposes a comprehensive framework for securing dynamic agricultural data generated from internet-connected loT devices. The proposed framework combines three main components: Honeycomb architecture, Intrusion Detection and Prevention Systems (IDPS), and sophisticated Al and ML principles. The Honeycomb architecture provides a strong foundation by combining distributed storage and decentralized control to reduce single points of failure and improve data resilience. The importance of this research stems from the essential role that agricultural data plays in developing future agricultural strategies and policies. A single falsified data point might lead to incorrect conclusions, affecting the agriculture sector's overall growth and sustainability. By applying the proposed cybersecurity framework, agriculture stakeholders may secure the integrity and confidentiality of their data, boosting trust in the trustworthiness of analyses and increasing the sector’s resistance to cyber threats. This study contributes to the developing subject of cybersecurity, specifically addressing the unique issues given by dynamic agricultural data from loT sources. The study's findings are likely to assist stakeholders in the agriculture sector, such as farmers, researchers, and policymakers, by assuring the sustainability and resilience of agricultural data ecosystems in the face of emerging cyber threats.