Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Research on Intrusion Detection System Based on Host Information Recognition

Authors
Xin Sui
Corresponding Author
Xin Sui
Available Online April 2017.
DOI
10.2991/emim-17.2017.97How to use a DOI?
Keywords
Network; Security; Firewall; Policy; Intrusion detection
Abstract

With the rapid development of the network, the network has been everywhere. The problem of network security becomes more and more important. A simple firewall cannot resist some attacks effectively, and it is vulnerable to attack. Intrusion detection technology uses active security policy and protection scheme to enhance network security. Using host feature recognition can provide data preparation for network security research. We hope to expand the function of security tools, especially the intrusion detection system to make it more efficient.

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 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
10.2991/emim-17.2017.97
ISSN
2352-538X
DOI
10.2991/emim-17.2017.97How 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  - Xin Sui
PY  - 2017/04
DA  - 2017/04
TI  - Research on Intrusion Detection System Based on Host Information Recognition
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 477
EP  - 479
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.97
DO  - 10.2991/emim-17.2017.97
ID  - Sui2017/04
ER  -