Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection

@article{Hu2014OnlineAP,
  title={Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection},
  author={Weiming Hu and Jun Gao and Yanguo Wang and Ou Wu and Stephen J. Maybank},
  journal={IEEE Transactions on Cybernetics},
  year={2014},
  volume={44},
  pages={66-82}
}
Current network intrusion detection systems lack adaptability to the frequently changing network environments. Furthermore, intrusion detection in the new distributed architectures is now a major requirement. In this paper, we propose two online Adaboost-based intrusion detection algorithms. In the first algorithm, a traditional online Adaboost process is used where decision stumps are used as weak classifiers. In the second algorithm, an improved online Adaboost process is proposed, and online… CONTINUE READING

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