Network Intrusion Detection System Based on Incremental Support Vector Machine

机译：基于增量支持向量机的网络入侵检测系统

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摘要

Based on simple incremental SVM, we proposed an improved incremental SVM algorithm (ISVM), and combined it into a kernel function U-RBF and applied it into network intrusion detection. The simulation results show that the improved kernel function U-RBF has played some role in saving training time and test time. The ISVM has eased the oscillation phenomenon in the process of the learning to some extent, and the stability of ISVM is relatively good.

机译：基于简单增量支持向量机，我们提出了一种改进的增量支持向量机算法（ISVM），并将其组合到内核函数U-RBF中，并应用于网络入侵检测。仿真结果表明，改进的核函数U-RBF在节省训练时间和测试时间方面起到了一定作用。 ISVM在一定程度上缓解了学习过程中的振荡现象，且稳定性较好。

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来源
《Contemporary challenges and solutions in applied artificial intelligence》|2013年|91-96|共6页
会议地点 Amsterdam(NL)
作者
Haiyi Zhang; Yang Yi; Jiansheng Wu;
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作者单位

Jodrey School of Computer Science, Acadia University, Wolfville, Noca Scotia,Canada B4P 2R6;

Sun Yat-sen University, China;

Sun Yat-sen University, China;

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正文语种 eng
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1. A novel support vector machine based intrusion detection system for mobile ad hoc networks [J] . Shams Erfan A., Rizaner Ahmet Wireless Networks . 2018,第5期

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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 Intelligent Network Intrusion Detection System Based on Multi-Modal Support Vector Machines [J] . Srinivasa K G International journal of information security and privacy . 2013,第4期

机译：基于多模态支持向量机的智能网络入侵检测系统
4. Network Intrusion Detection System Based on Incremental Support Vector Machine [C] . Haiyi Zhang, Yang Yi, Jiansheng Wu International conference on industrial engineering other applications of applied intelligent systems . 2013

机译：基于增量支持向量机的网络入侵检测系统
5. A new intrusion detection system based on the combination of support vectors and ant colony: Algorithm and implementation. [D] . Zhang, Qinglei. 2009

机译：一种基于支持向量和蚁群相结合的新型入侵检测系统：算法与实现。
6. Improving the Performance of Machine Learning-Based Network Intrusion Detection Systems on the UNSW-NB15 Dataset [O] . Soulaiman Moualla, Khaldoun Khorzom, Assef Jafar 2021

机译：在UNSW-NB15数据集上提高基于机器学习的网络入侵检测系统的性能
7. An Optimal Grey Wolf Optimization with Fuzzy Support Vector Machine based Intrusion Detection System in Clustered Wireless Sensor Networks [O] . Sibi Amaran 2020

机译：集群无线传感器网络中基于模糊支持向量机入侵检测系统的最佳灰狼优化

Network Intrusion Detection System Based on Incremental Support Vector Machine

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