Building a Big Data Platform for Large-scale Security Data Analysis

被引：0

作者：

Lee, Jong-Hoon ^{[1
]}

Kim, Young Soo ^{[1
]}

Kim, Jong Hyun ^{[1
]}

Kim, Ik Kyun ^{[1
]}

Han, Ki-Jun ^{[2
]}

机构：

[1] ETRI, Informat Secur Res Div, Daejeon, South Korea

[2] Kyungpook Natl Univ, Comp Dept, Daegu, South Korea

来源：

2017 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC) | 2017年

关键词：

Big Data; Security Analysis; Large-sclae Security Data; SECaaS;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The conventional security systems require to have an intelligent and integrated security technology that can analyze network and system events using large-capacity data of various security sources. In order to detect the cyber threats and enable intelligent ways of correlation analysis among security data, the paper develops and deploys the Big Data platform which can provide to collect, process and store the massive security log events, and can retrieve the information from long-term data. Also we evaluates the performance of proposed Big Data platform through the experiment.

引用

页码：976 / 980

页数：5

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