Author:
Li Jingmei,Wu Weifei,Xue Di
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science
Reference18 articles.
1. A.Y. Javaid, Q. Niyaz, W. Sun et al., A Deep Learning Approach for Network Intrusion Detection System, in: 9th EAI International Conference on Bio-inspired Information and Communications Technologies, 2015.
2. M. Yan and Z. Liu, A New Method of Transductive SVM-Based Network Intrusion Detection, in: Computer & Computing Technologies in Agriculture Iv-ifip Tc 12 Conference, DBLP, 2017.
3. S. Tiwari, S.S. Roy, S. Charaborty et al., A novel hybrid model for network intrusion detection, in: International Conference on Green Computing, IEEE, 2014.
4. C. Cheng, W.P. Tay and G.B. Huang, Extreme learning machines for intrusion detection, in: International Joint Conference on Neural Networks, IEEE, 2012.
5. H. Du, S. Teng, M. Yang et al., Intrusion Detection System Based on Improved SVM Incremental Learning, in: International Conference on Artificial Intelligence & Computational Intelligence, IEEE, 2010.
Cited by
22 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献