The Research of Network Anomaly Detection Technology Based on Data Mining

DOI

10.2991/icecee-15.2015.319How to use a DOI?

Keywords

Data Mining; Network Anomaly; Detection Technology

Abstract

With the rapid development of computer network, various problems also arise, especially the network security problem. How to quickly and efficiently find a variety of network intrusion behavior, to ensure the safety of the system and network resource is very important. Intrusion detection is a proactive safety protection technology, to take the initiative to monitor and track the invasion, to protect the computer system, network system, and the safety of the information infrastructure has very important practical significance. In this paper, in light of the characteristics of the network environment, this paper proposes a new network anomaly detection based on data mining technology, the method of clustering analysis in data mining to extension, raise the efficiency of intrusion detection system, guaranteeing the security of the network.

Copyright

© 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/).

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TY  - CONF
AU  - Chunhong Wu
AU  - Wenzhong Xia
AU  - Fengyun Liu
PY  - 2015/06
DA  - 2015/06
TI  - The Research of Network Anomaly Detection Technology Based on Data Mining
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1689
EP  - 1692
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.319
DO  - 10.2991/icecee-15.2015.319
ID  - Wu2015/06
ER  -