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Building an intrusion detection system on UNSW-NB15: Reducing the margin of error to deal with data overlap and imbalance
Article (Web of Science)
Early Access (Web of Science)
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cited authors
Zoghi, Zeinab; Serpen, Gursel
publication date
August 22, 2024
webpage
Web of Science
published in
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Journal
Research
category
COMPUTER SCIENCE, THEORY & METHODS
Category
keywords
UNSW-NB15 dataset
anomaly detection
binary classification
class imbalance
class overlap
cybersecurity analytics
ensemble learning
intrusion detection systems (IDS)
machine learning
multi-class classification
network security