Intrusion Detection System Based on Feature Selection and Support Vector Machine

机译：基于特征选择和支持向量机的入侵检测系统

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Support vector machine (SVM) has been applied to intrusion detection system (IDS) for its abilities to perform classification and regression. But for large-scale network intrusion detection problem, since solving a support vector machine is a typical quad

机译：支持向量机（SVM）已应用于入侵检测系统（IDS），以实现分类和回归的能力。但对于大规模的网络入侵检测问题，由于求解支持向量机是典型的四边形

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来源
《International Conference on Communications and Networking in China》|2006年||共5页
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作者
Zhang Xue-qin; Gu Chun-hua; Lin Jia-jin;
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原文格式 PDF
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中图分类 TN915-53;
关键词
security of data; support vector machines; Fisher score; feature selection technology; large-scale network intrusion detection problem; optimization problem; support vector machine;

机译：数据安全;支持向量机;Fisher得分;特征选择技术;大规模网络入侵检测问题;优化问题;支持向量机;
入库时间 2022-08-21 11:00:52

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2. Intrusion detection system for wireless mesh network using multiple support vector machine classifiers with genetic-algorithm-based feature selection [J] . Vijayanand R., Devaraj D., Kannapiran B. Computers & Security . 2018,第AUGa期

机译：使用多个支持向量机分类器并基于遗传算法的特征选择的无线网状网络入侵检测系统
3. An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine [J] . Raman M. R. Gauthama, Somu Nivethitha, Kirthivasan Kannan, Knowledge-Based Systems . 2017,第octa15期

机译：基于超图的高效入侵检测系统-支持向量机的参数优化和特征选择的遗传算法。
4. Features Selection for Intrusion Detection Systems Based on Support Vector Machines [C] . Zaman, Safaa, Karray, Fakhri IEEE Consumer Communications and Networking Conference;CCNC 2009 . 2009

机译：基于支持向量机的入侵检测系统特征选择
5. Intrusion detection using the Support Vector Machine enhanced with a feature-weight kernel. [D] . Zhao, Songlun. 2007

机译：使用功能强大的内核增强的支持向量机进行入侵检测。
6. Big Data Approach to Batch Process Monitoring: Simultaneous Fault Detection and Diagnosis Using Nonlinear Support Vector Machine-based Feature Selection [O] . Melis Onel, Chris A. Kieslich, Yannis A. Guzman, -1

机译：大数据方法用于批处理过程监控：使用基于非线性支持向量机的特征选择同时进行故障检测和诊断
7. Comparison of fuzzy robust Kernel C-Means and support vector machines for intrusion detection systems using modified kernel nearest neighbor feature selection [O] . Z. Rustam, N. Olivera 2018

机译：使用修改的内核最近邻特征选择的模糊鲁棒内核C型和支持向量机的入侵检测系统的比较

Intrusion Detection System Based on Feature Selection and Support Vector Machine

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