PCA mix‐based Hotelling's T2 multivariate control charts for intrusion detection system
Abstract Most of the data, which is in the field of network intrusion detection, have the characteristics of a mixture of high‐dimensional datasets of continuous and categorical variables. It easily leads the traditional multivariate control chart to get the error detection results. Hotelling's...
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| Format: | Article |
| Language: | English |
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Wiley
2022-05-01
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| Series: | IET Information Security |
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| Online Access: | https://doi.org/10.1049/ise2.12051 |
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| author | Mo Shaohui Gulanbaier Tuerhong Mairidan Wushouer Tuergen Yibulayin |
| author_facet | Mo Shaohui Gulanbaier Tuerhong Mairidan Wushouer Tuergen Yibulayin |
| author_sort | Mo Shaohui |
| collection | DOAJ |
| description | Abstract Most of the data, which is in the field of network intrusion detection, have the characteristics of a mixture of high‐dimensional datasets of continuous and categorical variables. It easily leads the traditional multivariate control chart to get the error detection results. Hotelling's T2 multivariate control charts based on Principal Component Analysis mix (PCA mix) with bootstrap control limit were proposed, and applied to the network intrusion detection system. It was compared with the conventional Hotelling's T2 control chart based on PCA and the performance of the control limits obtained with the bootstrap method was compared to the ones calculated using the most commonly used kernel density estimation. The experimental results revealed that the proposed method had better performance in intrusion detection than its counterparts. |
| format | Article |
| id | doaj-art-fc0005be745c402c97e8428a3010856c |
| institution | Kabale University |
| issn | 1751-8709 1751-8717 |
| language | English |
| publishDate | 2022-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Information Security |
| spelling | doaj-art-fc0005be745c402c97e8428a3010856c2025-02-03T06:47:34ZengWileyIET Information Security1751-87091751-87172022-05-0116316117710.1049/ise2.12051PCA mix‐based Hotelling's T2 multivariate control charts for intrusion detection systemMo Shaohui0Gulanbaier Tuerhong1Mairidan Wushouer2Tuergen Yibulayin3College of Information Science and Engineering Xinjiang University Urumqi ChinaCollege of Information Science and Engineering Xinjiang University Urumqi ChinaCollege of Information Science and Engineering Xinjiang University Urumqi ChinaCollege of Information Science and Engineering Xinjiang University Urumqi ChinaAbstract Most of the data, which is in the field of network intrusion detection, have the characteristics of a mixture of high‐dimensional datasets of continuous and categorical variables. It easily leads the traditional multivariate control chart to get the error detection results. Hotelling's T2 multivariate control charts based on Principal Component Analysis mix (PCA mix) with bootstrap control limit were proposed, and applied to the network intrusion detection system. It was compared with the conventional Hotelling's T2 control chart based on PCA and the performance of the control limits obtained with the bootstrap method was compared to the ones calculated using the most commonly used kernel density estimation. The experimental results revealed that the proposed method had better performance in intrusion detection than its counterparts.https://doi.org/10.1049/ise2.12051computer network securitydata compressionindustrial controlsecurity of data |
| spellingShingle | Mo Shaohui Gulanbaier Tuerhong Mairidan Wushouer Tuergen Yibulayin PCA mix‐based Hotelling's T2 multivariate control charts for intrusion detection system IET Information Security computer network security data compression industrial control security of data |
| title | PCA mix‐based Hotelling's T2 multivariate control charts for intrusion detection system |
| title_full | PCA mix‐based Hotelling's T2 multivariate control charts for intrusion detection system |
| title_fullStr | PCA mix‐based Hotelling's T2 multivariate control charts for intrusion detection system |
| title_full_unstemmed | PCA mix‐based Hotelling's T2 multivariate control charts for intrusion detection system |
| title_short | PCA mix‐based Hotelling's T2 multivariate control charts for intrusion detection system |
| title_sort | pca mix based hotelling s t2 multivariate control charts for intrusion detection system |
| topic | computer network security data compression industrial control security of data |
| url | https://doi.org/10.1049/ise2.12051 |
| work_keys_str_mv | AT moshaohui pcamixbasedhotellingst2multivariatecontrolchartsforintrusiondetectionsystem AT gulanbaiertuerhong pcamixbasedhotellingst2multivariatecontrolchartsforintrusiondetectionsystem AT mairidanwushouer pcamixbasedhotellingst2multivariatecontrolchartsforintrusiondetectionsystem AT tuergenyibulayin pcamixbasedhotellingst2multivariatecontrolchartsforintrusiondetectionsystem |