Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Safety status analysis of hospital information system and countermeasures

Authors
Xingshan Li, Min Xu
Corresponding Author
Xingshan Li
Available Online April 2017.
DOI
https://doi.org/10.2991/fmsmt-17.2017.264How to use a DOI?
Keywords
Hospital information security, Intrusion detection, Data mining, Hospital information system
Abstract

Elaborated in order to meet the needs of the current hospital information security in this paper.The application of new intelligent information security technology to hospital information security is still very little,the model of intelligent intrusion detection system based on clustering analysis and boundary point detection technology is developed to apply to the hospital information system to improve the safety level of the hospital information.

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/).

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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
https://doi.org/10.2991/fmsmt-17.2017.264How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xingshan Li
AU  - Min Xu
PY  - 2017/04
DA  - 2017/04
TI  - Safety status analysis of hospital information system and countermeasures
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1352
EP  - 1356
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.264
DO  - https://doi.org/10.2991/fmsmt-17.2017.264
ID  - Li2017/04
ER  -