Performance Analysis of Machine Learning-Based Intrusion Detection with Hybrid Feature Selection

Mohammad Al-Omari; Qasem Abu Al‐Haija

doi:10.32604/csse.2024.056257

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JOURNAL ARTICLE

Performance Analysis of Machine Learning-Based Intrusion Detection with Hybrid Feature Selection

Mohammad Al-Omari Qasem Abu Al‐Haija

Year: 2024 Journal: Computer Systems Science and Engineering Vol: 48 (6)Pages: 1537-1555

DOI: 10.32604/csse.2024.056257

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Keywords:

Feature selection Intrusion detection system Computer science Selection (genetic algorithm) Artificial intelligence Machine learning Intrusion Pattern recognition (psychology) Feature (linguistics) Geology

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Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Performance Analysis of Machine Learning-Based Intrusion Detection with Hybrid Feature Selection

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