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/).

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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  -