Proceedings of the 2015 Conference on Informatization in Education, Management and Business

Research and Implementation of Intrusion Detection Algorithm Based on BP Neural Network

Authors
Wu Zhenzhen
Corresponding Author
Wu Zhenzhen
Available Online September 2015.
DOI
https://doi.org/10.2991/iemb-15.2015.45How to use a DOI?
Keywords
Intrusion detection system; BP neural network; network security; feature extraction
Abstract

The paper introduce the neural network technology in IDS model design, and study that neural network is successfully applied in intrusion detection, and gives a network of neural network based intrusion detection system model, expounds the design idea of the model, the model schematic diagram, and the principle of each module in the system model and give a detailed introduction. At last, through more objective analysis of the training process and detection process, the experimental results and experimental results are satisfactory, that is a great advantage in the network intrusion detection based on neural network.

Copyright
© 2015, 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 2015 Conference on Informatization in Education, Management and Business
Series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2015
ISBN
978-94-6252-105-6
ISSN
2352-5398
DOI
https://doi.org/10.2991/iemb-15.2015.45How to use a DOI?
Copyright
© 2015, 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  - Wu Zhenzhen
PY  - 2015/09
DA  - 2015/09
TI  - Research and Implementation of Intrusion Detection Algorithm Based on BP Neural Network
BT  - Proceedings of the 2015 Conference on Informatization in Education, Management and Business
PB  - Atlantis Press
SP  - 228
EP  - 232
SN  - 2352-5398
UR  - https://doi.org/10.2991/iemb-15.2015.45
DO  - https://doi.org/10.2991/iemb-15.2015.45
ID  - Zhenzhen2015/09
ER  -