Article

Ethical and Transparent AI in Cyber Defense: An Explainable AI Plugin for Network Intrusion Detection Using SHAP, LIME, and ELI5

2026-06-23

Abstract excerpt

<title>Abstract</title> <p>Security Operations Centers (SOCs) increasingly rely on machine learning-based intrusion detection systems to identify malicious network activity in high-volume environments. However, strong classifiers such as Random Forest and XGBoost often operate as black boxes, limiting analyst trust and increasing investigation effort during alert triage. This paper presents an explainable intrusi...

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Literature Corpus work: 8875703a-acfc-5c01-ba27-c1bdc2205f96
DOI: 10.21203/rs.3.rs-10119187/v1

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