Corpus ID: 14527928

Learning Vector Quantization ( LVQ ) and k-Nearest Neighbor for Intrusion Classification

@inproceedings{Naoum2012LearningVQ,
  title={Learning Vector Quantization ( LVQ ) and k-Nearest Neighbor for Intrusion Classification},
  author={R. Naoum and Zainab Namh Al-Sultani},
  year={2012}
}
  • R. Naoum, Zainab Namh Al-Sultani
  • Published 2012
    • Attacks on computer infrastructure are becoming an increasingly serious problem nowadays, and with the rapid expansion of computer networks during the past decade, computer security has become a crucial issue for protecting systems against threats, such as intrusions. Intrusion detection is an interesting approach that could be used to improve the security of network system. Different soft-computing based methods have been proposed in recent years for the development of intrusion detection… CONTINUE READING
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    15 Citations
    Background Citations
    4
    Methods Citations
    6
    Results Citations
    1

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