machine learning model to predict cyber attack

Abstract

All users place a high value on information security. Over the last few decades, cyber security has been one of the most fascinating and essential topics in cyber re-search. The goal of this work is to propose a machine learning method for the problem of cyber security threats. As a result, a multi-model machine learning approach was developed to predict the top ten traits that can be used to detect cyber threats. This work finds the importance of each feature in from the dataset using machine learning. this model trained with  random forest model and exclude the features which are least important to the model.