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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主要作者:	ZHANG Anqin, DING Zhifeng
格式:	Artigo
語言:	Inglês
出版:	Editorial Office of Computer Engineering 2025-04-01
叢編:	Jisuanji gongcheng
主題:	dynamic graph embedding|transformer autoencoder|network anomaly detection|malicious behavior|long and short-term time-dependence
在線閱讀:	https://www.ecice06.com/fileup/1000-3428/PDF/20250405.pdf
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