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E-XAI: Evaluating Black-Box Explainable AI Frameworks for Network Intrusion Detection

The exponential growth of intrusions on networked systems inspires new research directions on developing artificial intelligence (AI) techniques for intrusion detection systems (IDS). In particular, the need to understand and explain these AI models to security analysts (managing these IDS to safegu...

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Principais autores: Osvaldo Arreche, Tanish R. Guntur, Jack W. Roberts, Mustafa Abdallah
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2024-01-01
Serier:IEEE Access
Fag:
XAI evaluation
intrusion detection systems
SHAP
explainable AI
network security
LIME
Online adgang:https://ieeexplore.ieee.org/document/10433134/
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