An Ensemble Model for Classification of Attacks with Feature Selection Based on KDD99 and NSL-KDD Data Set

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Provided by: International Journal of Computer Applications
Topic: Security
Format: PDF
Information security is extremely critical issues for every organization to protect information from unauthorized access. Intrusion detection system has one of the important roles to prevent data or information from malicious behaviors. Basically Intrusion detection system is a classifier that can classify the data as normal or attacks. In this paper, the authors have proposed ANN-Bayesian Net-GR technique that means ensemble of Artificial Neural Network (ANN) and bayesian net with Gain Ratio (GR) feature selection technique.
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