Machine Learning for Misuse-Based Network Intrusion Detection: Overview, Unified Evaluation and Feature Choice Comparison Framework

Machine Learning for Misuse-Based Network Intrusion Detection: Overview, Unified Evaluation and Feature Choice Comparison Framework

Network Intrusion detection systems are essential for the protection of advanced communication networks. Originally, these systems were hard-coded to identify specific signatures, patterns and rule violations; now artificial intelligence and machine learning algorithms provide promising alternatives...

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Bibliographic Details
Main Authors: Laurens Le Jeune, Toon Goedeme, Nele Mentens
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Intrusion detection
machine learning
neural networks
security
Online Access:https://ieeexplore.ieee.org/document/9410557/

Internet

https://ieeexplore.ieee.org/document/9410557/

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