Feature Attribution in 5G Intrusion Detection: A Statistical vs. Logic-Based Comparison

arXiv:2509.10206 · cs.CR, cs.LG · Submitted 2025-09-12 · Read on arXiv

cs.CR, cs.LG

Submitted: 2025-09-12

Updated: 2026-03-17

Code: https://github.com/albermax/innvestigate

Terminology

• Sparsity — 20× in this paper · explained in 4 episodes
• Interpretability — 18× in this paper · explained in 15 episodes
• Explainability — 16× in this paper · explained in 3 episodes
• Artificial Intelligence — 15× in this paper
• Machine Learning — 12× in this paper
• SHAP values — 10× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Core — 6× in this paper · explained in 2 episodes
• Model-Agnostic — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Denial of Service — 3× in this paper
• Shapley values — 3× in this paper · explained in 2 episodes
• Accountability — 2× in this paper · explained in 2 episodes
• Feature Selection — 2× in this paper · explained in 4 episodes
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Causal Inference — 1× in this paper · explained in 4 episodes
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Diagnostic Tools — 1× in this paper · explained in 2 episodes
• Domain Generation Algorithm — 1× in this paper
• Explainable AI (XAI) — 1× in this paper · explained in 7 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Forwarding Action Rules — 1× in this paper
• Generalizability — 1× in this paper · explained in 6 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Integrated Gradient — 1× in this paper
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Large Language Model — 1× in this paper
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Local Interpretable Model-Agnostic Explanations — 1× in this paper
• Packet Forwarding Control Protocol — 1× in this paper
• Radio Access Network — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• User Equipment — 1× in this paper
• User Plane Function — 1× in this paper

Sources

• Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning

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