Study and analysis of intrusion detection system using random forest and linear regression

The cyber security is the challenging job in present network system. There are number of existing Intrusion Detection Systems are available to overcome the issues, in this paper we proposed the linear regression and random forest technique is used. The latest UNSW-NB15 dataset is used for analyzing the proposed methods. Selecting significant features and removing irrelevant features by using proposed learning methods as well as identifying the best method by evaluating the results obtained.