Research and Simulation of Network Intrusion Detection Algorithm Based on Fuzzy Classification
Available Online January 2015.
- 10.2991/iccset-14.2015.3How to use a DOI?
- fuzzy classification; abnormal data; intrusion detection
The network intrusion accurate detection problem is researched. In the network intrusion detection process, the classification features of network operation data has poor uniformity, and the error of features classification is large, a network intrusion detection method based on fuzzy classification algorithm is proposed, principal component analysis method is used, the dimensions of network operation data are reduced. The redundant data are reduced, and fuzzy classification method is used, network intrusion featuresare classified, the network intrusion detection is realized. The simulation results show that the algorithm can effectively improve the accuracy of detection, it has perfect results.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chun Liu PY - 2015/01 DA - 2015/01 TI - Research and Simulation of Network Intrusion Detection Algorithm Based on Fuzzy Classification BT - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology PB - Atlantis Press SP - 14 EP - 17 SN - 2352-538X UR - https://doi.org/10.2991/iccset-14.2015.3 DO - 10.2991/iccset-14.2015.3 ID - Liu2015/01 ER -