Application of hospital information security intrusion detection system based on the new NPRIM algorithm

DOI

10.2991/icimm-16.2016.80How to use a DOI?

Keywords

clustering, boundary point detection, Intrusion detection

Abstract

The specific model of intrusion detection based on clustering and boundary points detection was elaborateed in this paper, and the data processing, clustering analysis, intrusion judgment, intrusion response, typical data warehousing the five stages are described in detail; Then the experimental environment and the experimental results were compared and analyzed, and further validation based on the improved NPRIM algorithm of the project team 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  - Min Xu
PY  - 2016/11
DA  - 2016/11
TI  - Application of hospital information security intrusion detection system based on the new NPRIM algorithm
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 445
EP  - 449
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.80
DO  - 10.2991/icimm-16.2016.80
ID  - Li2016/11
ER  -