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Deep Learning-Based Intrusion Detection Systems: A Systematic Review
2021
IEEE Access
This work was supported by the University of Finance and Administration through the institutional support for long-term conceptual development of research of "System approach to selected information and communications technology trends" under Standard Project 7429/2020/02. ABSTRACT Nowadays, the ever-increasing complication and severity of security attacks on computer networks have inspired security researchers to incorporate different machine learning methods to protect the organizations' data
doi:10.1109/access.2021.3097247
fatcat:un54rxgjyvfx3pxberzpafioxm