Systematic literature review on intrusion detection systems: Research trends, algorithms, methods, datasets, and limitations
Melad Mohammed Issa,
Mohammad Aljanabi,
Hassan M. Muhialdeen
Abstract:Machine learning (ML) and deep learning (DL) techniques have demonstrated significant potential in the development of effective intrusion detection systems. This study presents a systematic review of the utilization of ML, DL, optimization algorithms, and datasets in intrusion detection research from 2018 to 2023. We devised a comprehensive search strategy to identify relevant studies from scientific databases. After screening 393 papers meeting the inclusion criteria, we extracted and analyzed key information… Show more
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