Power information network intrusion detection based on data mining algorithm
Intrusion detection technology plays an important role in ensuring information security. This paper briefly describes the intrusion detection technology and its development history. Based on the analysis of power information network structure and its security partition, this paper proposes a power i...
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| Published in | The Journal of supercomputing Vol. 76; no. 7; pp. 5521 - 5539 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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New York
Springer US
01.07.2020
Springer Nature B.V |
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| Abstract | Intrusion detection technology plays an important role in ensuring information security. This paper briefly describes the intrusion detection technology and its development history. Based on the analysis of power information network structure and its security partition, this paper proposes a power information network intrusion detection framework for the intrusion attack problem of power information network and elaborates the implementation of each module. The association rule analysis algorithm and the association relationship between network data stream features can effectively detect the intrusion behaviour in the power information network. Experiments show that the intrusion detection system can effectively detect the intrusion attacks in the power information network and effectively protect the power information. |
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| AbstractList | Intrusion detection technology plays an important role in ensuring information security. This paper briefly describes the intrusion detection technology and its development history. Based on the analysis of power information network structure and its security partition, this paper proposes a power information network intrusion detection framework for the intrusion attack problem of power information network and elaborates the implementation of each module. The association rule analysis algorithm and the association relationship between network data stream features can effectively detect the intrusion behaviour in the power information network. Experiments show that the intrusion detection system can effectively detect the intrusion attacks in the power information network and effectively protect the power information. |
| Author | Dong, Limian Chang, Jie Zuo, Xiaojun Hou, Botao Chen, Ze |
| Author_xml | – sequence: 1 givenname: Xiaojun surname: Zuo fullname: Zuo, Xiaojun email: js8834@163.com organization: Electric Power Research Institute of State Grid Hebei Electric Power Supply Co., Ltd – sequence: 2 givenname: Ze surname: Chen fullname: Chen, Ze organization: Electric Power Research Institute of State Grid Hebei Electric Power Supply Co., Ltd – sequence: 3 givenname: Limian surname: Dong fullname: Dong, Limian organization: Electric Power Research Institute of State Grid Hebei Electric Power Supply Co., Ltd – sequence: 4 givenname: Jie surname: Chang fullname: Chang, Jie organization: Electric Power Research Institute of State Grid Hebei Electric Power Supply Co., Ltd – sequence: 5 givenname: Botao surname: Hou fullname: Hou, Botao organization: Electric Power Research Institute of State Grid Hebei Electric Power Supply Co., Ltd |
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| Keywords | Power information Network intrusion detection Data mining algorithm |
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| References | Yufei, Ting, Shaoyu, Baohua, Yujie (CR3) 2013; 37 Faisal, Aung, Williams, Sanchez (CR13) 2015; 9 Han, Xun, Jiang (CR11) 2015; 58 Chen, Liu (CR6) 2016; 2016 Shengqi, Chen, Liu (CR9) 2018; 98 Shamshirband, Amini, Anuar, Mat Kiah, Teh, Furnell (CR4) 2014; 55 Elbasiony, Sallam, Eltobely (CR12) 2013; 4 Louvieris, Clewley, Liu (CR15) 2013; 121 Davis, Clark (CR1) 2011; 30 Chen, Shengqi, Liu (CR7) 2018; 34 Li, Yang, Ding (CR2) 2016; 127 Ravale, Marathe, Padiya (CR10) 2015; 45 Kister, Ge, Herbert, Sinnecker, Wuerfel, Paul (CR8) 2013; 5 Rawat, Gulati, Pujari (CR14) 2005; 3700 Nadiammai, Hemalatha (CR5) 2014; 15 I Kister (2899_CR8) 2013; 5 Y Li (2899_CR2) 2016; 127 W Yufei (2899_CR3) 2013; 37 S Shamshirband (2899_CR4) 2014; 55 RM Elbasiony (2899_CR12) 2013; 4 MA Faisal (2899_CR13) 2015; 9 GV Nadiammai (2899_CR5) 2014; 15 JJ Davis (2899_CR1) 2011; 30 Lu Shengqi (2899_CR9) 2018; 98 U Ravale (2899_CR10) 2015; 45 M Chen (2899_CR6) 2016; 2016 Miaochao Chen (2899_CR7) 2018; 34 G Han (2899_CR11) 2015; 58 P Louvieris (2899_CR15) 2013; 121 S Rawat (2899_CR14) 2005; 3700 |
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| Title | Power information network intrusion detection based on data mining algorithm |
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