With the continuous development of the Internet, network security issues are becoming more and more prominent, and network intrusion detection is a very important part of the network security system, but also the key link of network security protection. However, the traditional intrusion detection technology has many problems and is no longer applicable, so this paper mainly studies the intrusion detection technology based on machine learning and big data technology. Specifically, in machine learning, where large amounts of data are used, the least squares support vector machine (LS-SVM) is used for training and testing. Then the test results were compared with the experimental results to improve the accuracy of the training results.