Model
Kitsune
An online network intrusion detection system based on an ensemble of neural networks, designed specifically to detect anomalies in network traffic.
Timeline (last 90 days)
Oct 22
On the three benchmarks UNSW-NB15, CIC-IDS2017, and EMBER2024, the paper compares against calibrated XGBoost, Random-Forest, MLP, and Kitsune, and measures a two-stage cascade of "Suricata (52,674 Emerging-Threats rules) → VX-One" running over five days on CIC-IDS2017.
Unverified50%