First longitudinal analysis of 6,859 detection rule histories shows 56% undergo logic revisions that are predominantly non-monotonic with frequent reversions and alternation between coverage expansion and false-positive reduction.
SoK: Pragmatic assessment of machine learning for network intrusion detection
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