The intrusion detection is the one of the interesting activities for providing the security in the computer. The nature of intrusion detection is to give alert to the user before the attack happens. There are different types of attacks that are encountered nowadays. With the advent of IOT many attacks are occurred and many managements have lost the money. So, these problems can be solved by using the best intrusion detection techniques and the attacks signatures have to be maintained. The machine learning techniques are the one which helps to detect the intrusions. Different machine learning techniques can be applied in intrusion detection. The data sets available today should be updated to maintain their effectiveness. In this paper we will review different classifiers which helps to direct our research in future