Detecting Computer Network Anomaly with Data Mining Technology
- DOI
- 10.2991/isrme-15.2015.389How to use a DOI?
- Keywords
- Data Mining; Computer Network Anomaly; Intrusion Detection System (IDS);
- Abstract
With the rapid development of machine learning and Internet technology, the combination of the two methods is well appreciated recently. An anomaly and intrusion detection system is a mechanism that monitors network or system activities for malicious activities. Intrusion detection and prevention systems are primarily focused on identifying possible incidents, logging information about them and reporting attempts. As far as other usages of Intrusion detection and prevention systems are concerned, such as identifying problems with security policies and deterring individuals from violating security policies. Anomaly detection systems are becoming an important addition to the security infrastructure of nearly every organization. In this paper, we propose a novel mechanism for real-world traffic and research there cases with theoretical analysis.
- 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/).
Cite this article
TY - CONF AU - ZhiYu Hu AU - Li Li PY - 2015/04 DA - 2015/04 TI - Detecting Computer Network Anomaly with Data Mining Technology BT - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering PB - Atlantis Press SP - 1900 EP - 1903 SN - 1951-6851 UR - https://doi.org/10.2991/isrme-15.2015.389 DO - 10.2991/isrme-15.2015.389 ID - Hu2015/04 ER -