机译:基于层次聚类和支持向量机的新型入侵检测系统
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, 43, Sec/4. Kee-Lung Road, 106 Taipei, Taiwan,Department of Electronic Engineering, National United University, Miaoli, Taiwan,Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, 43, Sec/4. Kee-Lung Road, 106 Taipei, Taiwan;
Department of Computer Science and Information Engineering, Ming Chuan University, Taoyuan, Taiwan;
Department of Electronic Engineering, National United University, Miaoli, Taiwan;
Department of Electronic Engineering, Northern Taiwan Institute of Science and Technology, Taipei, Taiwan;
Department of Electronic Engineering, National United University, Miaoli, Taiwan;
Department of Electronic Engineering, National United University, Miaoli, Taiwan;
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, 43, Sec/4. Kee-Lung Road, 106 Taipei, Taiwan;
network intrusion detection system (NIDS); support vector machines (SVMs); hierarchical clustering algorithm; KDD cup 1999; network security; data mining;
机译:一种新的入侵检测系统,使用支持向量机和分层群集
机译:基于改进的K均值的入侵检测系统多级混合支持向量机和极限学习机
机译:一种新型加权支撑载体机基于差分演进的入侵检测系统的多标量级
机译:基于分层簇的图像防火系统和支持向量机
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。
机译:基于多层聚类的分层无线传感器网络入侵检测系统
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