In this study, we have tried to survey the methods to detect network intrusions. The Intrusion detection system is important in computer networks for protecting the data. There are several algorithms using neural networks, deep learning, and machine learning to detect intrusion detection in the system. There are many methods for detecting intrusions by ensemble methods, classifiers, anomaly detection giving accuracy according to the methods. The goal of the study is to give a comparison of the methods for an accuracy rate of low rate false alarm and high detection rate. Also, the data sets used in the methods.