Improved Intrusion Detection System Using Fuzzy Logic for Detecting Anamoly and Misuse Type of Attacks

@article{Shanmugam2009ImprovedID,
  title={Improved Intrusion Detection System Using Fuzzy Logic for Detecting Anamoly and Misuse Type of Attacks},
  author={Bharanidharan Shanmugam and Norbik Bashah Idris},
  journal={2009 International Conference of Soft Computing and Pattern Recognition},
  year={2009},
  pages={212-217}
}
Currently available intrusion detection systems focus mainly on determining uncharacteristic system events in distributed networks using signature based approach. Due to its limitation of finding novel attacks, we propose a hybrid model based on improved fuzzy and data mining techniques, which can detect both misuse and anomaly attacks. The aim of our research is to reduce the amount of data retained for processing i.e., attribute selection process and also to improve the detection rate of the… CONTINUE READING

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