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Automated Feature Weighting for Network Anomaly Detection
Dat Tran
, Wanli Ma
,
Dharmendra Sharma
Research output
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Contribution to journal
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Article
›
peer-review
Overview
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Dive into the research topics of 'Automated Feature Weighting for Network Anomaly Detection'. Together they form a unique fingerprint.
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Keyphrases
Network Features
100%
Feature Weighting
100%
Network Anomaly Detection
100%
Automated Features
100%
Vector Quantization
50%
Detection Rate
50%
Traffic Pattern
50%
Feature Weighting Methods
50%
Network Model
50%
Network Pattern
50%
Subspace Approach
50%
False Alarm Rate
50%
Fuzzy Subhyperspace
50%
Computer Science
Vector Quantization
100%
Detection Rate
100%
Anomaly Detection
100%
False Alarm Rate
100%
Traffic Pattern
100%