Research of Botnet Situation Awareness Based on Big Data

被引：1

作者：

Luo, Zhiqiang ^{[1
]}

Shen, Jun ^{[1
]}

Jin, Huamin ^{[1
]}

Liu, Dongxin ^{[1
]}

机构：

[1] China Telecom Co Ltd, Guangzhou Res Inst, 109 West Zhongshan Ave, Guangzhou 510630, Guangdong, Peoples R China

来源：

WEB TECHNOLOGIES AND APPLICATIONS, APWEB 2015 WORKSHOPS | 2015年 / 9461卷

关键词：

Botnet; Big data; Situation awareness; Network security;

D O I：

10.1007/978-3-319-28121-6_7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the rapid expansion of the botnet, a single network security system could not meet the requirement. Botnet situation awareness can dynamically reflect the overall botnet security and predict botnet security development trends. Characteristics of big data create opportunity for research breakthrough of large scale botnet situation awareness. This article discusses about botnet security situation awareness based on multi-source logs by utilizing big data analysis. It promotes detection accuracy and fast response of botnet events, and implements the early warning for DDoS attacks.

引用

页码：71 / 78

页数：8