Intrusion detection system by improved preprocessing methods and Naïve Bayes classifier using NSL-KDD 99 Dataset

Today Network is one of the very important parts of life and a lot of essential activities are performed using network. Network security plays critical role in real life situations. This paper presents a Data Mining method in which various preprocessing methods are involved such as Normalization, Discretization and Feature selection. With the help of these methods the data is preprocessed and required features are selected. Here Naïve Bayes classifier is used in supervised learning method which classifies various network events for the KDD cup´99 Dataset. This dataset is the most commonly used dataset for Intrusion Detection.