An Anomaly Detection Method for Data Center Network Traffic Based on Dynamic Graph Convolutional Networks

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Cloud Computing
Published
2026-07-28
DOI
https://doi.org/10.1504/ijcc.2027.10080253
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

An Anomaly Detection Method for Data Center Network Traffic Based on Dynamic Graph Convolutional Networks

Yao Zhang
International Journal of Cloud Computing
Network Security and Intrusion Detection
article

An Anomaly Detection Method for Data Center Network Traffic Based on Dynamic Graph Convolutional Networks

Yao Zhang
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Cloud ComputingVol. 16(4)
Openalex Percentile: Top 6%
Network Security and Intrusion Detection
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