PCA mix‐based Hotelling's T2 multivariate control charts for intrusion detection system

Autor:	Mo Shaohui, Gulanbaier Tuerhong, Mairidan Wushouer, Tuergen Yibulayin
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	computer network security data compression industrial control security of data Computer engineering. Computer hardware TK7885-7895 Electronic computers. Computer science QA75.5-76.95
Zdroj:	IET Information Security, Vol 16, Iss 3, Pp 161-177 (2022)
Druh dokumentu:	article
ISSN:	1751-8717 1751-8709
DOI:	10.1049/ise2.12051
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/fc0005be745c402c97e8428a3010856c Zobrazit plný text záznamu Plný text View record in DOAJ