Research on Network Traffic Anomaly Detection Method Based on Autoencoders
Author:
Affiliation:
1. China Three Gorges Corporation,Digital Management Center,Wuhan,China
2. China Three Gorges Corporation,Yangtze River Basin Hub Operation and Management Center,Yichang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10579949/10579951/10581422.pdf?arnumber=10581422
Reference12 articles.
1. Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey
2. Deep learning applications and challenges in big data analytics
3. A survey of network anomaly detection techniques
4. A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning methods
5. A multi-step outlier-based anomaly detection approach to network-wide traffic
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