Support vector data description with kernel density estimation (SVDD-KDE) control chart for network intrusion monitoring
Multivariate control charts have been applied in many sectors. One of the sectors that employ this method is network intrusion detection. However, the issue arises when the conventional control chart faces difficulty monitoring the network-traffic data that do not follow a normal distribution as req...
Saved in:
Main Authors: | Muhammad Ahsan, Muhammad Ahsan, Hidayatul Khusna, Hidayatul Khusna, Wibawati, Wibawati, Lee, Muhammad Hisyam |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer Nature
2023
|
Subjects: | |
Online Access: | http://eprints.utm.my/106889/1/MuhammadHisyamLee2023_SupportVectorDataDescriptionwithKernel.pdf http://eprints.utm.my/106889/ http://dx.doi.org/10.1038/s41598-023-46719-3 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PCA-based Hotelling's T2 chart with fast minimum covariance determinant (FMCD) estimator and kernel density estimation (KDE) for network intrusion detection
by: Muhammad Mashuri, Muhammad Mashuri, et al.
Published: (2021) -
Multivariate control chart based on kernel PCA for monitoring mixed variable and attribute quality characteristics
by: Muhammad Ahsan, Muhammad Ahsan, et al.
Published: (2020) -
Residual-based maximum MCUSUM control chart for joint monitoring the mean and variability of multivariate autocorrelated processes
by: Hidayatul Khusna, Hidayatul Khusna, et al.
Published: (2019) -
Robust adaptive multivariate Hotelling's T2 control chart based on kernel density estimation for intrusion detection system
by: Ahsan, Muhammad, et al.
Published: (2020) -
Genetic algorithm fine tuning of Support Vector Data Descriptor (SVDD) for classification of monocotyledon and dicotyledon weeds
by: Wong, Wei Kitt, et al.
Published: (2014)