T2 Control Chart based on Successive Difference Covariance Matrix for Intrusion Detection System

被引：8

作者：

Ahsan, Muhammad ^{[1
]}

Mashuri, Muhammad ^{[1
]}

Kuswanto, Heri ^{[1
]}

Prastyo, Dedy Dwi ^{[1
]}

Khusna, Hidayatul ^{[1
]}

机构：

[1] Inst Teknol Sepuluh Nopember, Dept Stat, Surabaya 60111, Indonesia

来源：

2ND INTERNATIONAL CONFERENCE ON STATISTICS, MATHEMATICS, TEACHING, AND RESEARCH 2017 | 2018年 / 1028卷

关键词：

MULTIVARIATE CONTROL CHARTS;

D O I：

10.1088/1742-6596/1028/1/012220

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

The Intrusion detection is a process to monitor the events taking place in a computer system or network and analyze the monitoring results to find signs of intrusion. One of alternative solutions for intrusion detection is the usage of statistical methods that Statistical Process Control especially the control charts.. In this research, the Hotelling's T-2 chart performance for intrusion detection is improved using the Successive Difference Covariance Matrix where the control limits will be calculated using Kernel Density Estimation. The proposed method using T-2 based on Kernel Density Estimation control limit outperforms other approaches both in training and testing dataset.

引用

页数：6

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