A Reinforcement Learning Approach for Host-Based Intrusion Detection Using Sequences of System Calls

@inproceedings{Xu2005ARL,
  title={A Reinforcement Learning Approach for Host-Based Intrusion Detection Using Sequences of System Calls},
  author={Xin Xu and Tao Xie},
  booktitle={ICIC},
  year={2005}
}
Intrusion detection has emerged as an important technique for network security. Due to the complex and dynamic properties of intrusion behaviors, machine learning and data mining methods have been widely employed to optimize the performance of intrusion detection systems (IDSs). However, the results of existing work still need to be improved both in accuracy and in computational efficiency. In this paper, a novel reinforcement learning approach is presented for host-based intrusion detection… CONTINUE READING
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Intrusion Detection Using Neural Networks and Support Vector Machines

  • S. Mukkamala, G. Janoski, A. H.Sung
  • Proceedings of IEEE International Joint…
  • 2002
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