A deep learning technique for intrusion detection system using a Recurrent Neural Networks based framework

In recent years, the spike in the amount of information transmitted through communication infrastructures has increased due to the advances in technologies such as cloud computing, vehicular networks systems, the Internet of Things (IoT), etc. As a result, attackers have multiplied their efforts for the purpose of rendering network systems vulnerable. Therefore, it is of utmost importance to improve the security of those network systems. In this study, an IDS framework using Machine Learning (ML) techniques is implemented. This framework uses different types of Recurrent Neural Networks (RNNs), namely, Long-Short Term Memory (LSTM), Gated Recurrent Unit (GRU) and Simple RNN. To assess the performance of the…