دسته بندی:
اینترنت اشیاء - Internet of Things
سال انتشار:
2022
عنوان انگلیسی مقاله:
A Two-layer Fog-Cloud Intrusion Detection Model for IoT Networks
ترجمه فارسی عنوان مقاله:
مدل تشخیص نفوذ مه-ابر دو لایه برای شبکه های اینترنت اشیا
منبع:
ScienceDirect- Elsevier- Internet of Things, 19 (2022) 100557: doi:10:1016/j:iot:2022:100557
نویسنده:
Souradip Roy
چکیده انگلیسی:
The Internet of Things (IoT) and its applications are becoming ubiquitous in our life. However,
the open deployment environment and the limited resources of IoT devices make them vulnerable
to cyber threats. In this paper, we investigate intrusion detection techniques to mitigate attacks
that exploit IoT security vulnerabilities. We propose a machine learning-based two-layer hierarchical intrusion detection mechanism that can effectively detect intrusions in IoT networks
while satisfying the IoT resource constraints. Specifically, the proposed model effectively utilizes
the resources in the fog layer of the IoT network by efficiently deploying multi-layered feedforward neural networks in the fog-cloud infrastructure for detecting network attacks. With a fog
layer into the picture, analysis is dynamically distributed across the fog and cloud layer thus
enabling real-time analytics of traffic data closer to IoT devices and end-users. We have performed
extensive experiments using two publicly available datasets to test the proposed approach. Test
results show that the proposed approach outperforms existing approaches in multiple performance metrics such as accuracy, precision, recall, and F1-score. Moreover, experiments also
justified the proposed model in terms of improved service time, lower delay, and optimal energy
utilization.
keywords: Fog computing | Intrusion detection | IoT network | Machine learning | Security
قیمت: رایگان
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