false positive reduction 1feature selection 1intrusion detection 1machine learning 1network security 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CR2026
BARS: Benign-Anchored Ranking and Selection for False Alarm Reduction in Network Intrusion Detection
Abu Fuad Ahmad, Istiaque Ahmed
The paper introduces BARS, a benign‑anchored filter for feature selection that reduces false positive rates in network intrusion detection systems while keeping low computational o…
cs.LG2026
nCMD: Benign-Anchored Feature Selection for Imbalanced Network Intrusion Detection
Abu Fuad Ahmad, Istiaque Ahmed
Feature selection is critical for network intrusion detection systems (NIDS) operating under high-dimensional, highly imbalanced traffic, as found in operational and defense networ…