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Trust in Intrusion Detection Systems: An Investigation of Performance Analysis for Machine Learning and Deep Learning Models

To design and develop AI-based cybersecurity systems (e.g., intrusion detection system (IDS)), users can justifiably trust, one needs to evaluate the impact of trust using machine learning and deep learning technologies. To guide the design and implementation of trusted AI-based systems in IDS, this...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Basim Mahbooba, Radhya Sahal, Wael Alosaimi, Martin Serrano
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Wiley 2021-01-01
Saila:Complexity
Sarrera elektronikoa:http://dx.doi.org/10.1155/2021/5538896
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