Adaptive neuro-fuzzy intrusion detection systems

@article{Chavan2004AdaptiveNI,
  title={Adaptive neuro-fuzzy intrusion detection systems},
  author={Sampada Chavan and Khusbu Shah and Neha Dave and Sanghamitra Mukherjee and Ajith Abraham and Sugata Sanyal},
  journal={International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.},
  year={2004},
  volume={1},
  pages={70-74 Vol.1}
}
The intrusion detection system architecture commonly used in commercial and research systems have a number of problems that limit their configurability, scalability or efficiency. In this paper, two machine-learning paradigms, artificial neural networks and fuzzy inference system, are used to design an intrusion detection system. SNORT is used to perform real time traffic analysis and packet logging on IP network during the training phase of the system. Then a signature pattern database is… CONTINUE READING
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