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
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Tianfield, H. (2017). Data mining based cyber-attack detection. System Simulation Technology, 13(2). http://mall.cnki.net/magazine/Article/XTFJ201702017.htm