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Optimized intrusion predictions through feature selection methods

delete2025-06-07
delete0
PRE
AI
A
Anagha A.S.
C
Ciza Thomas
N
N. Balakrishnan
DOI：10.1016/j.cose.2025.104541delete
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摘要

摘要

En 中文
• 基于SHAP、相关性及信息增益的特征选择应用于平衡数据集。 • 随机森林作为特征选择的包装器。 • 针对深度神经网络的优化特征子集。 • 在降低复杂度的同时提升少数攻击检测性能。 • 基于SHAP和相关性方法的表现优于信息增益方法。

期刊

C
Computers and Security
IF:
5.4
论文数:
4.6K
被引数:
1.4W

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