Research on Real-time Intrusion Detection Technology Based on Data Mining
Zhiqin Fan, Mian Wang
Available Online April 2018.
- 10.2991/iwmecs-18.2018.38How to use a DOI?
- Intrusion detection, data mining, ant colony optimization clustering, expert system
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.
- © 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/).
Cite this article
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 -