Feature Drift Aware for Intrusion Detection System Using Developed Variable Length Particle Swarm Optimization in Data Stream

Feature Drift Aware for Intrusion Detection System Using Developed Variable Length Particle Swarm Optimization in Data Stream

Intrusion Detection Systems (IDS) serve as critical components in safeguarding network security by detecting malicious activities. Although IDS has recently been treated primarily through the lens of machine learning, challenges persist, particularly with high-dimensional data and feature drift. Fea...

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Bibliographic Details
Main Authors: Mustafa Sabah Noori, Ratna K. Z. Sahbudin, Aduwati Sali, Fazirulhisyam Hashim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Intrusion detection system
data stream classification
high-dimensionality
concept drift
feature drift
dynamic feature selection
Online Access:https://ieeexplore.ieee.org/document/10318159/

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