Description

Intrusion detection is one of the important security in today’s cyber world. Lot of techniques have been developed which are based on machine learning approaches. So for identifying the intrusion we have designed the different machine learning algorithms such as Logistic regression (LR), K-Nearest Neighbour (KNN) and Decision Tree (DT). The experimental results shows that the accuracy for both algorithms. A Network based Intrusion Detection System (NIDS) is usually placed at network points such as a gateway and routers to check for intrusions in the network traffic. In this process, KDD cup IDS dataset was taken from dataset repository. Then, we have to implement the pre-processing, data splitting and classification.