JOURNAL ARTICLE
Collective Anomaly Detection Techniques for Network Traffic Analysis
Year: 2018 Journal: Annals of Data Science Vol: 5 (4)Pages: 497-512 Publisher: Springer Science+Business Media
Keywords:
Cluster analysis Hurst exponent Anomaly detection Data mining Denial-of-service attack Computer science Anomaly (physics) Benchmark (surveying) Flooding (psychology) Artificial intelligence Mathematics Statistics Geology Physics
Metrics
28
Cited By
3.82
FWCI (Field Weighted Citation Impact)
32
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Network Security and Intrusion Detection
Physical Sciences → Computer Science → Computer Networks and Communications
Anomaly Detection Techniques and Applications
Physical Sciences → Computer Science → Artificial Intelligence
Internet Traffic Analysis and Secure E-voting
Physical Sciences → Computer Science → Artificial Intelligence
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