Intrusion Detection Using Fuzzy Meta-Heuristic Approaches

  title={Intrusion Detection Using Fuzzy Meta-Heuristic Approaches},
  author={Bachir Bahamida and Dalila Boughaci},
  journal={Int. J. Appl. Metaheuristic Comput.},
Due to a growing number of intrusion events, organizations are increasingly implementing various intrusion detection systems that classify network traffic data as normal or anomaly. In this paper, three intrusion detection systems based fuzzy meta-heuristics are proposed. The first one is a fuzzy stochastic local search (FSLS). The second one is a fuzzy tabu search (FTS) and the third one is a fuzzy deferential evolution (FDE). These classifiers are built on a knowledge base modelled as a fuzzy… 
4 Citations

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