Large-Scale and Robust Intrusion Detection Model Combining Improved Deep Belief Network With Feature-Weighted SVM

In a large-scale data environment, the “curse of dimensionality” of high-dimensional feature spaces and the large amount of noisy data make the efficiency and accuracy of intrusion detection systems (IDSs) significantly decrease. To address these challenges, the underlying algorithm ca...

詳細記述

書誌詳細

主要な著者:	Yukun Wu, Wei William Lee, Zhicheng Xu, Minya Ni
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2020-01-01
シリーズ:	IEEE Access
主題:	Intrusion detection feature redundancy deep belief network feature extraction NSL-KDD
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9094066/
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!