Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software
Reference65 articles.
1. Larson, D.: Distributed denial of service attacks–holding back the flood. Netw. Secur. 2016(3), 5–7 (2016)
2. Almseidin, M., Alzubi, M., Kovacs, S., Alkasassbeh, M.: Evaluation of machine learning algorithms for intrusion detection system. In: 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY), pp. 000277–000282. IEEE (2017)
3. Kok, S.H., Abdullah, A., Jhanjhi, N.Z., Supramaniam, M.: A review of intrusion detection system using machine learning approach. Int. J. Eng. Res. Technol. 12(1), 8–15 (2019)
4. Al-Jarrah, O.Y., Siddiqui, A., Elsalamouny, M., Yoo, P.D., Muhaidat, S., Kim, K.: Machine-learning-based feature selection techniques for large-scale network intrusion detection. In: 2014 IEEE 34th International Conference on Distributed Computing Systems Workshops (ICDCSW), pp. 177–181. IEEE (2014)
5. Thanh, H.N., Van Lang, T.: An approach to reduce data dimension in building effective network intrusion detection systems. EAI Endorsed Trans. Context Aware Syst. Appl. 6(18), 162633 (2019)
Cited by
10 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