A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks
Thiago José Lucas,
Inaê Soares de Figueiredo,
Carlos Alexandre Carvalho Tojeiro
et al.
Abstract:Machine learning algorithms present a robust alternative for building Intrusion Detection Systems due to their ability to recognize attacks in computer network traffic by recognizing patterns in large amounts of data. Typically, classifiers are trained for this task. Together, ensemble learning algorithms have increased the performance of these detectors, reducing classification errors and allowing computer networks to be more protected. This research presents a comprehensive Systematic Review of the Literatur… Show more
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