太原理工大学学报2017，Vol.48Issue(6)：969-972,983,5.DOI:10.16355/j.cnki.issn1007-9432tyut.2017.06.016
基于概率神经网络的IPv6入侵检测技术研究
Research on IPv6 Intrusion Detection Technology Based on PNN
摘要
Abstract
This paper summarized the IPv6 network problems and intrusion detection technol-ogies,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 a-bility to realize the intrusion attack classification very accurately,this paper proposed an IPv6 in-trusion detection technology based on probabilistic neural network.After the data packets ob-tained 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.关键词
IPv6/入侵检测/概率神经网络Key words
IPv6/intrusion detection/PNN分类
信息技术与安全科学引用本文复制引用
贺静,徐成武,任密林..基于概率神经网络的IPv6入侵检测技术研究[J].太原理工大学学报,2017,48(6):969-972,983,5.基金项目
北京市发改委下一代互联网重大应用技术项目(20151045) （20151045）
