An effective unsupervised network anomaly detection method
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ACM Press
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Unsupervised Network Traffic Anomaly Detection Method Based on Attribute Graph in Power Internet of Things;2023 3rd International Conference on Energy Engineering and Power Systems (EEPS);2023-07-28
2. Anomal-E: A self-supervised network intrusion detection system based on graph neural networks;Knowledge-Based Systems;2022-12
3. An improved density peaks clustering algorithm based on grid screening and mutual neighborhood degree for network anomaly detection;Scientific Reports;2022-01-26
4. Application of data mining technology in detecting network intrusion and security maintenance;Journal of Intelligent Systems;2021-01-01
5. Contextual Anomaly Detection Methods for Addressing Intrusion Detection;Handbook of Research on Cyber Crime and Information Privacy;2021
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