Graph Neural Networks for Anomaly Detection in Industrial Internet of Things

Yulei Wu; Hong‐Ning Dai; Haina Tang

doi:10.1109/jiot.2021.3094295

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JOURNAL ARTICLE

Graph Neural Networks for Anomaly Detection in Industrial Internet of Things

Yulei Wu Hong‐Ning Dai Haina Tang

Year: 2021 Journal: IEEE Internet of Things Journal Vol: 9 (12)Pages: 9214-9231 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jiot.2021.3094295

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Abstract

This is the author accepted manuscript. The final version is available from Institute of Electrical and Electronics Engineers via the DOI in this record.

Keywords:

Anomaly detection Computer science Factory (object-oriented programming) Industry 4.0 Smart city Graph Internet of Things Computer security Data mining

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262

Cited By

23.14

FWCI (Field Weighted Citation Impact)

145

Refs

1.00

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Citation History

Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Smart Grid Security and Resilience

Physical Sciences → Engineering → Control and Systems Engineering

Graph Neural Networks for Anomaly Detection in Industrial Internet of Things

Abstract

Metrics

Citation History

Topics

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