Author : Ch Muni Koteswara Rao 1
Date of Publication :20th December 2019
Abstract: To find out network traffic and classify whether it is malicious or benign A novel supervised machine learning system is used .To obtain best model considering detection success rate, both combination of supervised learning algorithm and feature selection method have been used. To classifying network traffic it is found that Artificial Neural Network (ANN) with wrapper feature selection support vector machine (SVM) technique is used. To evaluate the performance, NSL-KDD dataset is used to classify network traffic using SVM and ANN supervised machine learning techniques. With respect to intrusion detection success rate Comparative study shows that the proposed model is efficient than other existing models.
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