Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection

Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection

Intrusion detection is an essential task for protecting the cyber environment from attacks. Many studies have proposed sophisticated models to detect intrusions from a large amount of data, yet they ignored the fact that poor data quality has a direct impact on the performance of intrusion detection...

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Bibliographic Details
Main Authors: Ngan Tran, Haihua Chen, Jay Bhuyan, Junhua Ding
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Data curation
data quality
intrusion detection
machine learning
deep learning
language model
Online Access:https://ieeexplore.ieee.org/document/9907008/

Internet

https://ieeexplore.ieee.org/document/9907008/

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