Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Research on network intrusion detection technology in dynamic and complex background

Authors
Wen-kui Zheng, Kun Liu
Corresponding Author
Wen-kui Zheng
Available Online May 2017.
DOI
10.2991/msmee-17.2017.226How to use a DOI?
Keywords
Digital image processing;Edge detection;Algorithm;Research
Abstract

With the advent of the Internet era, the network has been widely used in production and life, and network security has become a hot topic. Nowadays, the traditional prevention technology is difficult to prevent the various increasing network attacks. There is an urgent need for a complex network intrusion detection technology to ensure the normal use of the network. According to the above problems, this paper studies the problem of network intrusion detection technology in dynamic and complex background. This paper introduces the network intrusion detection technology under dynamic background, and expounds the basic idea of detection, detection system model and packet capture device of detection system, and then analyzes the technical advantages of the detection system. the experiment proves that the network intrusion detection system can detect intrusion quickly and accurately to prevent intrusion.

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 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-346-3
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.226How 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  - Wen-kui Zheng
AU  - Kun Liu
PY  - 2017/05
DA  - 2017/05
TI  - Research on network intrusion detection technology in dynamic and complex background
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1197
EP  - 1202
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.226
DO  - 10.2991/msmee-17.2017.226
ID  - Zheng2017/05
ER  -