Chapter 1 Continuous Features Discretizaion for Anomaly Intrusion Detectors Generation

@inproceedings{Aziz2012Chapter1C,
  title={Chapter 1 Continuous Features Discretizaion for Anomaly Intrusion Detectors Generation},
  author={Amira Sayed A. Aziz and Ahmad Taher Azar and Aboul Ella Hassanien and Sanaa Al-Ola and Hanafy},
  year={2012}
}
Network security is a growing issue, with the evolution of computer systems and expansion of attacks. Biological systems have been inspiring scientists and designs for new adaptive solutions, such as genetic algorithms. In this paper, an approach that uses the genetic algorithm to generate anomaly network intrusion detectors is used. An algorithm is proposed using a discretization method for the continuous features selection of intrusion detection, to create some homogeneity between values… CONTINUE READING

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