Data mining based cyber-attack detection

Huaglory Tianfield

Data mining based cyber-attack detection

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Abstract

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.

Original language	English
Number of pages	15
Journal	System Simulation Technology
Volume	13
Issue number	2
Publication status	Published - 31 May 2017

Keywords

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

Documents and Links

Tianfield, H. (2017) Data mining based cyber-attack detection
This is the accepted author manuscript of an article originally published in: System Simulation Technology 13 (2), 2017. The final publisher version is available via the link below. Copyright© 2017 Oriprobe Information Services, Inc. All rights reserved.
Author accepted manuscript, 267 KB

http://mall.cnki.net/magazine/Article/XTFJ201702017.htm

Cite this

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title = "Data mining based cyber-attack detection",

abstract = "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.",

keywords = "big data analytics, cyber-attack detection, cyber security, cyber situational awareness, data mining, pattern mining, machine learning",

author = "Huaglory Tianfield",

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PY - 2017/5/31

Y1 - 2017/5/31

N2 - 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.

AB - 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.

KW - big data analytics

KW - cyber-attack detection

KW - cyber security

KW - cyber situational awareness

KW - data mining

KW - pattern mining

KW - machine learning

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VL - 13

JO - System Simulation Technology

JF - System Simulation Technology

SN - 1673-1964

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ER -

Data mining based cyber-attack detection

Abstract

Keywords

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