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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Osvaldo Arreche, Tanish R. Guntur, Jack W. Roberts, Mustafa Abdallah
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	XAI evaluation intrusion detection systems SHAP explainable AI network security LIME
Linkit:	https://ieeexplore.ieee.org/document/10433134/
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