An Improved Intrusion Detection System Based on KDD Dataset Using Feature Ranking and Data Sampling
Mohit Hooda, Jameer Babu, P. Surya Vamsi, G. Gopakumar · 2020
Data security over the network is a prime concern and development of an intrusion detection system (IDS) should be given the highest priority. This manuscript looks forward to develop an intelligent IDS by making use of one of the popular available dataset, the KDD CUP99 dataset. It proposes a framework for building an effective IDS employing feature selection and data sampling techniques. Performance evaluation metrics like Accuracy, Precision, Recall and F-measure are taken into consideration to establish the superiority of the built IDS.