Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials

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

Authors
Xingshan Li, Min Xu
Corresponding Author
Xingshan Li
Available Online November 2016.
DOI
https://doi.org/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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Volume Title
Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
Series
Advances in Engineering Research
Publication Date
November 2016
ISBN
978-94-6252-244-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/icimm-16.2016.80How to use a DOI?
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/).

Cite this article

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  - https://doi.org/10.2991/icimm-16.2016.80
ID  - Li2016/11
ER  -