The Application of High Dimensional Data Mining Based on Big Data to Intrusion Detection

被引：0
|
作者：
Liu, Jinhua [1 ]
机构：
[1] Xinyu Univ, Modern Educ Technol Ctr, Xinyu City, Jiangxi, Peoples R China
来源：
PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION AND APPLIED MATHEMATICS (MSAM2017) | 2017年 / 132卷
关键词：
high dimensional data mining; big data; intrusion detection;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Under the historical background of big data, the traditional data processing methods can no longer meet the requirement proposed by the intrusion detection of systems. With the current development of information technology, the data in systems become increasingly complex, and the workload of data mining also becomes increasingly large in the intrusion detection of systems, which invisibly increases the difficulty in intrusion detection. In this paper, issues related to the application of high dimensional data mining technology based on big data to intrusion detection are analyzed.
引用
收藏
页码：169 / 171
页数：3
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