A subnormal Gaussian fuzzy number model for risk-averse IDS alert prioritization that shows improved robustness over baselines on CIC-IDS2017 and NSL-KDD under detector degradation.
Genetic-fuzzy rule mining approach and eval- uation of feature selection techniques for anomaly intrusion detection.Pattern Recognition, 40(9):2373–2391, 2007
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Risk Averse Alert Prioritization for IDS Using Subnormal Gaussian Fuzzy Models
A subnormal Gaussian fuzzy number model for risk-averse IDS alert prioritization that shows improved robustness over baselines on CIC-IDS2017 and NSL-KDD under detector degradation.