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Based on a Semi-supervised Fuzzy Clustering and Sample Selection Attribute Reduction of the Intrusion Detection

机译：基于入侵检测的半监控模糊聚类和样本选择属性

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Wen-jun YANG;
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1. Adaptive intrusion detection via GA-GOGMM-based pattern learning with fuzzy rough set-based attribute selection [J] . Liu Jinping, Zhang Wuxia, Tang Zhaohui, Expert Systems with Application . 2020,第Jana期

机译：通过基于GA-GOGMM的模式学习和基于模糊粗糙集的属性选择进行自适应入侵检测
2. Trust-aware FuzzyClus-Fuzzy NB: intrusion detection scheme based on fuzzy clustering and Bayesian rule [J] . Veeraiah Neenavath, Krishna B. Tirumala Wireless Networks . 2019,第7期

机译：信任感知的FuzzyClus-Fuzzy NB：基于模糊聚类和贝叶斯规则的入侵检测方案
3. Simulation analysis of intrusion detection system based on genetic attribute reduction algorithm and neural network based on rough set theory [J] . Xu Xin Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2018,第3期

机译：基于粗糙集理论的基于遗传属性减少算法和神经网络的入侵检测系统仿真分析
4. Intrusion detection based on the semi-supervised Fuzzy C-Means clustering algorithm [C] . Guorui Feng Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on . 2012

机译：基于半监督模糊C-均值聚类算法的入侵检测
5. Semi-supervised learning of bitmask pairs for an anomaly-based intrusion detection system. [D] . Ardolino, Kyle R. 2008

机译：基于监督的入侵检测系统的位掩码对的半监督学习。
6. Explaining the Attributes of a Deep Learning Based Intrusion Detection System for Industrial Control Networks [O] . Zhidong Wang, Yingxu Lai, Zenghui Liu, 2020

机译：解释基于深度学习的工业控制网络入侵检测系统的属性
7. A Multicriterion Fuzzy Classification Method with Greedy Attribute Selection for Anomaly-based Intrusion Detection [O] . El-Alfy El-Sayed M., Al-Obeidat Feras N. 2014

机译：基于异常属性的贪婪属性选择多准则模糊分类方法

Based on a Semi-supervised Fuzzy Clustering and Sample Selection Attribute Reduction of the Intrusion Detection

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