Introduction
Bimonthly, started in 1957
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N
location: home > paper >
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Research on IPv6 Intrusion Detection Technology Based on PNN
DOI:
10.16355/j.cnki.issn1007-9432tyut.2017.06.016
Received:
Accepted:
| Corresponding author | Institute | |
| XU Chengwu | Center of Information Management and Development,Taiyuan University of Technology |
abstract:
This paper summarized the IPv6 network problems and intrusion detection technologies,and introduced the IPv6 intrusion detection technology model based on neural network.In view of the advantages of probabilistic neural network in its powerful non-linear classification ability to realize the intrusion attack classification very accurately,this paper proposed an IPv6 intrusion detection technology based on probabilistic neural network.After the data packets obtained in IPv6 are preprocessed,the data types are classified by probabilistic neural network.The experiment proved that this method has greatly improved detection accuracy and efficiency. |
Keywords:
IPv6;intrusion detection;PNN