Intrusion detection in computer networks by a modular ensemble of one-class classifiers

@article{Giacinto2008IntrusionDI,
  title={Intrusion detection in computer networks by a modular ensemble of one-class classifiers},
  author={G. Giacinto and R. Perdisci and Mauro Del Rio and F. Roli},
  journal={Inf. Fusion},
  year={2008},
  volume={9},
  pages={69-82}
}
  • G. Giacinto, R. Perdisci, +1 author F. Roli
  • Published 2008
  • Computer Science
  • Inf. Fusion
  • Since the early days of research on intrusion detection, anomaly-based approaches have been proposed to detect intrusion attempts. [...] Key Method Each module is designed to model a particular group of similar protocols or network services. The use of a modular MCS allows the designer to choose a different model and decision threshold for different (groups of) network services.Expand Abstract
    Ensemble methods in intrusion detection
    Ensemble-based semi-supervised learning approach for a distributed intrusion detection system
    • 2
    • Highly Influenced
    Generating artificial attack data for intrusion detection using machine learning
    • 6

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