Robust adaptive multivariate Hotelling's T2 control chart based on kernel density estimation for intrusion detection system

M Ahsan, M Mashuri, MH Lee, H Kuswanto… - Expert Systems with …, 2020 - Elsevier
The utilization of conventional multivariate control chart in network intrusion detection will
deal with two main problems. First, the high false alarm occurs due to the distribution of …

Comparing the performance of Kernel PCA Mix Chart with PCA Mix Chart for monitoring mixed quality characteristics

M Ahsan, M Mashuri, H Khusna - Scientific Reports, 2022 - nature.com
Along with the development of information and technology, the quality characteristics of a
product cannot be monitored separately in the different types of control charts. In the past …

Support vector data description with kernel density estimation (SVDD-KDE) control chart for network intrusion monitoring

M Ahsan, H Khusna, Wibawati, MH Lee - Scientific Reports, 2023 - nature.com
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 …

Fermatean Fuzzy Interactive Aggregation Operators and their Application to Decision-making.

A Sivadas, SJ John, PN Jayaprasad - Engineering Letters, 2023 - search.ebscohost.com
This article explores some interactive aggregation operators for Fermatean fuzzy sets (FFS).
These operators are generalisations of those defined for intuitionistic fuzzy sets. It revises …

T 2 Control Chart based on PCA with KDE Control Limit for Monitoring Intrusion

AI Jaya, TR Aulia, FD Putri… - Journal of Physics …, 2021 - iopscience.iop.org
In monitoring network anomaly, the traditional T 2 chart can be an alternative owing to its
ability to capture the network anomaly. However, the new problem emerges in consequence …