The Key Techniques of the Network Anomaly Detection Based on Data Mining
- https://doi.org/10.2991/isrme-15.2015.388How to use a DOI?
- Network Anomaly Detection, Data Mining, Intrusion Detection
Network realized the information sharing, including individuals, businesses and the government and the whole society. With the expanding of network application scope, for all kinds of network attack and destruction is growing. Computer network security is an international problem, worldwide each year because of the computer network security system was damaged caused economic losses amounted to tens of billions of dollars. Network security is a very complicated problem, it involves many aspects of network engineering, such as network technology, network protocol, intrusion detection system is built and encryption technology, etc., this thesis mainly studies the network intrusion detection system based on data mining is the subject.
- © 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 - Xiaobo He PY - 2015/04 DA - 2015/04 TI - The Key Techniques of the Network Anomaly Detection Based on Data Mining BT - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering PB - Atlantis Press SP - 1896 EP - 1899 SN - 1951-6851 UR - https://doi.org/10.2991/isrme-15.2015.388 DO - https://doi.org/10.2991/isrme-15.2015.388 ID - He2015/04 ER -