FS-MOEA: A Novel Feature Selection Algorithm for IDSs in Vehicular Networks
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DOI: 10.1109/tits.2020.3011452
Abstract: For Intrusion Detection Systems (IDSs) in Vehicular Ad Hoc Networks (VANETs), single-objective optimization algorithm has inherited limitations for the feature selection problem with the multiple objectives. Moreover, the imbalanced problem commonly exists in various datasets.… read more here.
Keywords: problem; selection algorithm; feature selection; idss vehicular ... See more keywords