The Research and Application of Multiple Detectors of Bayesian Classifier Fusion Technology

DOI

10.2991/emcs-17.2017.200How to use a DOI?

Keywords

Network security; Intrusion detection; Dynamic; Bayesian algorithm; Fusion technology

Abstract

Abstract: Nowadays, people more and more get the attention of the network security problem, and Intrusion Detection technology is a kind of security mechanism, which is a kind of dynamic monitoring, preventing and resisting intrusion behavior. As one of the core technologies of network security, Intrusion Detection system has become an essential infrastructure for most organizations. The paper combing of fusion technology for the lack of Naive Bayesian algorithm, based on the analysis of the collected information and the result of the fusion, give the result of the detection system, and then to determine whether the system has been invaded, and effectively improve the rate of detection of intrusion detection system.

Copyright

© 2017, 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/).

Download article (PDF)

TY  - CONF
AU  - Xin Sui
PY  - 2017/03
DA  - 2017/03
TI  - The Research and Application of Multiple Detectors of Bayesian Classifier Fusion Technology
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 1034
EP  - 1037
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.200
DO  - 10.2991/emcs-17.2017.200
ID  - Sui2017/03
ER  -