FSNID uses neural estimates of transfer entropy to remove uninformative network features without hurting intrusion detection accuracy, and an LSTM variant exploits time patterns to shrink the feature set further.
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Feature Selection for Network Intrusion Detection
FSNID uses neural estimates of transfer entropy to remove uninformative network features without hurting intrusion detection accuracy, and an LSTM variant exploits time patterns to shrink the feature set further.