Threat Detection Framework Based on Industrial Internet of Things Logs

Threat Detection Framework Based on Industrial Internet of Things Logs

The Industrial Internet of Things logs capture the status and events of industrial Internet of Things systems and provide a valuable source for identifying potential threats. However, most existing anomaly detection methods consider quantitative or sequential relationships between log events. These...

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Bibliographic Details
Main Authors: Shuqin Zhang, Yong Wang, Xinyu Su
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Anomaly detection
graph neural network
ontology
Sigma rule
Online Access:https://ieeexplore.ieee.org/document/10786974/
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https://ieeexplore.ieee.org/document/10786974/

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