Confusion matrices obtained by applying the proposed method to the NSL-KDD dataset, for five types of intrusion.

Confusion matrices obtained by applying the proposed method to the NSL-KDD dataset, for five types of intrusion.

<p>Confusion matrices obtained by applying the proposed method to the NSL-KDD dataset, for five types of intrusion.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Abdullah Asım Yılmaz (20715311) (author)
منشور في:	2025
الموضوعات:	Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified many new types kddcup &# 8217 empirical findings show attackers every day 44 %, 90 proposed model successfully particle swarm optimisation outperforms alternative schemes accuracy values obtained deep neural network trained network models based hybrid architecture novel deep learning novel deep based architecture hybrid system art schemes alternative state based framework architecture design computer network various strategies trained dnn three well suggested method still elusive significant role robust system recent years optimised way nb15 datasets main contribution information security important challenge hyperparameter optimisation data gathering critical element
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الوصف
الملخص:	<p>Confusion matrices obtained by applying the proposed method to the NSL-KDD dataset, for five types of intrusion.</p>

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