检索结果-内蒙古大学图书馆

Deep Intrusion Data Mining Method Forship Monitoring Network under Cloud Computing

JOURNAL OF COASTAL RESEARCH 2018年第Spe83期000卷 668-672页

作者： Yang, Zhiwen Zhou, Haodong Jiangxi Inst Fash Technol Nanchang 330201 Jiangxi Peoples R China Jiangxi Acad Sci Nanchang 330029 Jiangxi Peoples R China

In the cloud computing environment the network space with different type and different scale are completely different in the destructiveness of intrusion and intrusion features. The traditional intrusion mining is mainly to weight these differentiated intrusion results, and calculating a fused threshold, measuring whether it is invaded, but this method does not subdivide intrusion features in ship monitoring network, and has high false alarm rate and rate of missing report. This paper proposed data mining method of the ship monitoring network intrusion mining based on the fuzzy C mean clustering algorithm and improved support vector machine algorithm. Firstly, this paper carried out dimensionality reduction and classification processing for the different type data, and collected related data for the extraction and analysis of sample feature, and calculated the overall threshold of data, and used the improved support vector machine algorithm to normalize the collected data, and obtained the data signal with uniform format. Experimental results show that the improved algorithm in the ship monitoring network under cloud computing deepness intrusion mining can improve the accuracy of mining, reduce the false alarm rate and improve the mining efficiency.

关键词： Ship monitoring network intrusion data mining fuzzy clustering algorithm improved support vector machine algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：