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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Autors principals:	Osvaldo Arreche, Tanish R. Guntur, Jack W. Roberts, Mustafa Abdallah
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	XAI evaluation intrusion detection systems SHAP explainable AI network security LIME
Accés en línia:	https://ieeexplore.ieee.org/document/10433134/
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