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.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
CyBOKClaw is a top-k retrieval system for CyBOK mapping that achieves 81.19% EXA-5 and 98% ECA-5 on validation data through normalization, term expansion, concept boosts, and domain ranking.
citing papers explorer
-
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.
-
CyBOKClaw: Human-in-the-Loop CyBOK Mapping for Cybersecurity Curriculum
CyBOKClaw is a top-k retrieval system for CyBOK mapping that achieves 81.19% EXA-5 and 98% ECA-5 on validation data through normalization, term expansion, concept boosts, and domain ranking.