Multi-Class, Multi-Tier Network Intrusion Detection: A Comprehensive and Reproducible Benchmark

arXiv:2609.36039 · cs.CR, cs.LG · Submitted 2026-09-28 · Read on arXiv

cs.CR, cs.LG

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/YufengXin/network-attack-research

Terminology

Benchmark — 20× in this paper · explained in 2 episodes
Accuracy — 7× in this paper · explained in 1 episode
Feature Extraction — 5× in this paper · explained in 2 episodes
Feature Selection — 5× in this paper · explained in 4 episodes
Interpretability — 4× in this paper · explained in 15 episodes
Intrusion Detection System — 4× in this paper
Ablation — 3× in this paper · explained in 1 episode
Ablation study — 2× in this paper · explained in 1 episode
Calibration — 2× in this paper · explained in 7 episodes
Explainability — 2× in this paper · explained in 3 episodes
F1 Score — 2× in this paper · explained in 3 episodes
Trace — 2× in this paper · explained in 2 episodes
Adversarial Attacks — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Canadian Institute for Cybersecurity — 1× in this paper
Consistency — 1× in this paper · explained in 3 episodes
Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
Feature Engineering — 1× in this paper · explained in 3 episodes
Generalization — 1× in this paper · explained in 13 episodes
Meta-learning — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes

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