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Anomaly detection based on unsupervised niche clustering with application to network intrusion detection

机译：基于非监督利基聚类的异常检测及其在网络入侵检测中的应用

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Elizabeth Leon; Olfa Nasraoui; Jonatan Gomez;
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年度 2004
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1. Anomaly Base Network Intrusion Detection by Using Random Decision Tree and Random Projection: A Fast Network Intrusion Detection Technique [J] . Mahendra Singh Sisodia, Virendra Raghuwanshi Network Protocols and Algorithms . 2011,第4期

机译：基于随机决策树和随机投影的异常基础网络入侵检测：一种快速的网络入侵检测技术
2. Hybrid Weighted K-Means Clustering and Artificial Neural Network for an Anomaly-Based Network Intrusion Detection System [J] . RafathSamrin, DevaraVasumathi Journal of Intelligent Systems . 2018,第2期

机译：用于基于异常的网络入侵检测系统的混合加权K-Means聚类和人工神经网络
3. A clustering-based method for unsupervised intrusion detections [J] . ShengYi Jiang, Xiaoyu Song, Hui Wang, Pattern recognition letters . 2006,第7期

机译：基于聚类的无监督入侵检测方法
4. Anomaly detection based on unsupervised niche clustering with application to network intrusion detection [C] . Leon, E., Nasraoui, Evolutionary Computation, 2004. CEC2004. Congress on . 2004

机译：基于无监督小生境聚类的异常检测及其在网络入侵检测中的应用
5. Anomaly-based network intrusion detection using outlier subspace analysis approach. [D] . Kershaw, David. 2010

机译：使用异常子空间分析方法的基于异常的网络入侵检测。
6. Intrusion Detection and Prevention in CoAP Wireless Sensor Networks Using Anomaly Detection [O] . Jorge Granjal, João M. Silva, Nuno Lourenço 2018

机译：使用异常检测的CoAP无线传感器网络中的入侵检测和预防
7. An Online Anomaly-Detection Neural Networks-based Clustering for Adaptive Intrusion Detection Systems [O] . Roshan Kokabha Setareh 2016

机译：基于在线异常检测神经网络的自适应入侵检测系统聚类

Anomaly detection based on unsupervised niche clustering with application to network intrusion detection

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