Network Anomaly Detection by Using a Time-Decay Closed Frequent Pattern

Network Anomaly Detection by Using a Time-Decay Closed Frequent Pattern

Anomaly detection of network traffic flows is a non-trivial problem in the field of network security due to the complexity of network traffic. However, most machine learning-based detection methods focus on network anomaly detection but ignore the user anomaly behavior detection. In real scenarios,...

書誌詳細
主要な著者:	Ying Zhao, Junjun Chen, Di Wu, Jian Teng, Nabin Sharma, Atul Sajjanhar, Michael Blumenstein
フォーマット:	論文
言語:	English
出版事項:	MDPI AG 2019-08-01
シリーズ:	Information
主題:	anomaly detection frequent pattern user behavior
オンライン･アクセス:	https://www.mdpi.com/2078-2489/10/8/262

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