Network Anomaly Detection Integrating Dynamic Graph Embedding and Transformer Autoencoder

Network anomaly detection aims to promptly identify and respond to malicious activities and potential threats within networks. Most existing graph-embedding-based methods are designed for static graphs and neglect fine-grained temporal information, thus failing to capture the continuity of dynamic n...

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Vydané v:	Ji suan ji gong cheng Ročník 51; číslo 4; s. 47 - 56
Hlavný autor:	ZHANG Anqin, DING Zhifeng
Médium:	Journal Article
Jazyk:	Chinese English
Vydavateľské údaje:	Editorial Office of Computer Engineering 15.04.2025
Predmet:	dynamic graph embedding|transformer autoencoder|network anomaly detection|malicious behavior|long and short-term time-dependence
ISSN:	1000-3428
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