Evaluating the CIC IDS-2017 Dataset Using Machine Learning Methods and Creating Multiple Predictive Models in the Statistical Computing Language R

The analysis of network traffic is crucial to the design and implementation of Intrusion Detection Systems. The R language is a statistical computing environment capable of performing a variety of data analysis techniques. In this paper, we will use the R language to pre-process, analyze, and create a predictive model using the CIC IDS-2017 dataset capable of predicting whether or not network connections are malicious in nature. We will use the CIC IDS-2017 data to train both an Artificial Neural Network and Machine Learning algorithm and create a model capable of classifying labeled network data. Keywords— R Language : Machine L