A Novel Intrusion Detection System Based on Data Mining

DOI

10.2991/iccmcee-15.2015.244How to use a DOI?

Keywords

Data Mining;Intrusion Detection; Network Security

Abstract

The rapid development of the Internet makes distributed computing has become a mainstream application, network openness, connectivity, shared characteristics, so that the risk of suffering from the growing network intrusions. How to ensure the network and information security has become very important in the field of security issues. From the initial access control mechanisms to combine packet filtering and application layer gateway firewall technology, each is not the perfect solution. Intrusion detection is a network and information security architecture an important part of the intrusion detection system put forward higher requirements. Current greatest weakness of the face of live flowers audit records cannot be quickly mass intrusion detection and high false positive rate of serious impact on system performance. This paper proposes a new intrusion detection method, and on this basis, based on data mining developed based anomaly intrusion detection system prototype 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  - Tao Xu
AU  - Wei Zhang
AU  - XuHong Li
AU  - Xia Wang
AU  - Wenwen Pan
PY  - 2015/11
DA  - 2015/11
TI  - A Novel Intrusion Detection System Based on Data Mining
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 1299
EP  - 1302
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.244
DO  - 10.2991/iccmcee-15.2015.244
ID  - Xu2015/11
ER  -