Intelligent intrusion detection technology NPRIM improved algorithm based on non- parameter clustering

DOI

10.2991/icmcm-16.2016.146How to use a DOI?

Keywords

NPRIM algorithm;clustering;non-parametric clustering;boundary point detection;intrusion detection

Abstract

The specific model of Intrusion Detection Based on clustering and boundary points detection was elaborated in this paper, and the data processing, clustering analysis, intrusion, intrusion response, typical data warehousing the five stages were described. Based on the NPRIM algorithm, the clustering function is added, and the non-parametric clustering algorithm and the boundary point detection algorithm are proposed, the algorithm can not only cluster but also detect the boundary points. At the same time, in order to meet the needs of intrusion detection, the output will be processed accordingly. Further validation of the project is based on the improved NPRIM algorithm applied to intrusion detection is effective and feasible.

Copyright

© 2016, 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  - Xingshan Li
AU  - Na Li
AU  - Min Xu
PY  - 2016/12
DA  - 2016/12
TI  - Intelligent intrusion detection technology NPRIM improved algorithm based on non- parameter clustering
BT  - Proceedings of the 2016 7th International Conference on Mechatronics, Control and Materials (ICMCM 2016)
PB  - Atlantis Press
SP  - 767
EP  - 772
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmcm-16.2016.146
DO  - 10.2991/icmcm-16.2016.146
ID  - Li2016/12
ER  -