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,...

Full description

Bibliographic Details
Main Authors: Ying Zhao, Junjun Chen, Di Wu, Jian Teng, Nabin Sharma, Atul Sajjanhar, Michael Blumenstein
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Information
Subjects:
anomaly detection
frequent pattern
user behavior
Online Access:https://www.mdpi.com/2078-2489/10/8/262

Internet

https://www.mdpi.com/2078-2489/10/8/262

Similar Items