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基于机器学习的智能检测在农业信息化中的应用
引用本文:孙福振,李艳,李业刚.基于机器学习的智能检测在农业信息化中的应用[J].安徽农业科学,2009,37(34):17242-17243.
作者姓名:孙福振  李艳  李业刚
作者单位:山东理工大学计算机科学与技术学院,山东淄博,255049
摘    要:分析了基于web的农业信息化建设,提出了在防火墙中实现一个学习模块,并对攻击以及正常网络数据进行收集分析,然后选择属性良好的网络数据作为训练样本,使得防火墙可以对新的流入的数据进行判断和学习,使防火墙向智能化方向发展,有效保障农业信息网络安全。

关 键 词:机器学习  决策树  农业信息化  入侵检测

Application of Intelligent Detection Technology Based on Machine Learning in Building Agricultural Information
SUN Fu-zhen et al.Application of Intelligent Detection Technology Based on Machine Learning in Building Agricultural Information[J].Journal of Anhui Agricultural Sciences,2009,37(34):17242-17243.
Authors:SUN Fu-zhen
Institution:SUN Fu-zhen et al(College of Computer Science , Technology,Sh,ong University of Technology,Zibo,Sh,ong 255049)
Abstract:The building of agricultural information based on web was analyzed,and realizing a learning module in firewall was put forward.Then collected data from attack and normal network,chose the network data which has better attribute as a training example to realize a learning module.By this learning module the firewall should generate the firewall rules and get learning ability,which will provide effective protection of agricultural information network security.
Keywords:Machine learning  Decision tree  Agricultural information  Intrusion detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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