연구 분야: Safety
학회: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)
The integration of Internet of Things (IoT) technology into agriculture has significantly enhanced farm management and productivity. The Message Queuing Telemetry Transport (MQTT) protocol, pivotal in this transformation, facilitates communication among IoT devices and decision making systems. Being a cost-effective and time-effective system, Ag-IoT is prone to attacks due to its inherent vulnerabilities and weak security policies. When security incidents happen, robust response mechanisms help to contain the impact of the incident to prevent severe impacts on the network. This article presents an incident response model for a smart agriculture system to address incident response challenges. We conducted a case study on MQTT based agriculture system with the help of two publicly available IoT datasets based on the proposed model. We conducted a series of experiments to statistically analyze the datasets for more insights and also used four widely used machine learning algorithms to detect malicious traffic. This study also proposes a set of Quality of Service based recommendations for effective incident response. Finally, we believe that this work provides an insightful approach to incident response in smart agriculture systems to address the prevailing security incidents.
| 발행 연도 | 2024년 |
|---|---|
| 인용수 | 1 |
| 출판 국가 | India |
| 사이트 | IEEE |
| 좋아요 수 | 0 |