Data Mining Based Cyber-Attack Detection

被引：0

作者：

TIANFIELD Huaglory ^{[1
]}

机构：

[1] Department of Computer Communications and Interactive Systems,Glasgow Caledonian University

来源：

系统仿真技术 | 2017年 / 13卷 / 02期

关键词：

big data analytics; cyber-attack detection; cyber security; cyber situational awareness; data mining; pattern mining; machine learning;

D O I：

10.16812/j.cnki.cn31-1945.2017.02.016

中图分类号：

TP311.13 []; TP393.08 [];

学科分类号：

0839 ; 1201 ; 1402 ;

摘要：

Detecting cyber-attacks undoubtedly has become a big data problem. This paper presents a tutorial on data mining based cyber-attack detection. First,a data driven defence framework is presented in terms of cyber security situational awareness. Then, the process of data mining based cyber-attack detection is discussed. Next,a multi-loop learning architecture is presented for data mining based cyber-attack detection. Finally,common data mining techniques for cyber-attack detection are discussed.

引用

页码：90 / 104

页数：15

共 4 条

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[3] A framework for constructing features and models for intrusion detection systems[J] . Wenke Lee,Salvatore J. Stolfo. ACM Transactions on Information and System Security (TISSEC) . 2000 (4)
[4] Adaptive Intrusion Detection: A Data Mining Approach[J] . Wenke Lee,Salvatore J. Stolfo,Kui W. Mok. Artificial Intelligence Review . 2000 (6)

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