Research on Real-time Intrusion Detection Technology Based on Data Mining

DOI

10.2991/iwmecs-18.2018.38How to use a DOI?

Keywords

Intrusion detection, data mining, ant colony optimization clustering, expert system

Abstract

As the development of computer network, especially the Interact techniques, network is playing more and more important roles in our daily life as well as work.With nodes of the vast network, more and more sensitive information is being stored and manipulated online, the computer network is more vulnerable to miscellaneously malicious or unauthorized actions, network security is becoming increasingly important. The traditional network security techniques, which are passive defense, such as IA(Identification and Authentication), Firewall and SO on, cannot already satisfy the need of network security.

Copyright

© 2018, 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  - Zhiqin Fan
AU  - Mian Wang
PY  - 2018/04
DA  - 2018/04
TI  - Research on Real-time Intrusion Detection Technology Based on Data Mining
BT  - Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SP  - 171
EP  - 175
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.38
DO  - 10.2991/iwmecs-18.2018.38
ID  - Fan2018/04
ER  -