Robust adaptive multivariate Hotelling's T2 control chart based on kernel density estimation for intrusion detection system
作者：
Highlights：
• Robust and adaptive chart is proposed to improve the detection accuracy.
• Proposed chart has better performance in detecting outlier than the benchmarks
• High detection accuracy has achieved for three datasets.
• For small portion of dataset, the proposed chart still produce the similar result.
• The proposed method has better performance compared to other the methods.
摘要
•Robust and adaptive chart is proposed to improve the detection accuracy.•Proposed chart has better performance in detecting outlier than the benchmarks•High detection accuracy has achieved for three datasets.•For small portion of dataset, the proposed chart still produce the similar result.•The proposed method has better performance compared to other the methods.
论文关键词：Fast-MCD,Kernel density estimation,Hotelling's T2 chart,Intrusion detection,Statistical process control
论文评审过程：Received 19 December 2018, Revised 25 August 2019, Accepted 28 November 2019, Available online 29 November 2019, Version of Record 24 December 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.113105
