Intrusion detection using a hybridization of evolutionary fuzzy systems and artificial immune systems

@article{Abadeh2007IntrusionDU,
  title={Intrusion detection using a hybridization of evolutionary fuzzy systems and artificial immune systems},
  author={Mohammad Saniee Abadeh and Jafar Habibi and M. Daneshi and M. Jalali and M. Khezrzadeh},
  journal={2007 IEEE Congress on Evolutionary Computation},
  year={2007},
  pages={3547-3553}
}
This paper presents a novel hybrid approach for intrusion detection in computer networks. The proposed approach combines an evolutionary based fuzzy system with an artificial immune system to generate high quality fuzzy classification rules. The performance of final fuzzy classification system has been investigated using the KDD-Cup99 benchmark dataset. The… CONTINUE READING