MARK-ELM: Application of a novel Multiple Kernel Learning framework for improving the robustness of Network Intrusion Detection

Title
MARK-ELM: Application of a novel Multiple Kernel Learning framework for improving the robustness of Network Intrusion Detection
Authors
Keywords
Network Intrusion Detection, KDD Cup 1999, Multiple Kernel Learning, Machine Learning, Extreme Learning Machine, Ensemble Learning, Adaptive Boosting, Cyber security, Multiclass Classification, Kernel Selection, Fractional Polynomial Kernels
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 42, Issue 8, Pages 4062-4080
Publisher
Elsevier BV
Online
2015-01-09
DOI
10.1016/j.eswa.2014.12.040

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