Internet of Things equipment intrusion detection method based on traffic classification and identification

The invention belongs to the technical field of Internet of Things security, and discloses an Internet of Things equipment intrusion detection method based on traffic classification identification. The method comprises the following steps: constructing a simulated Internet of Things intelligent environment, and obtaining traffic information of Internet of Things equipment; confirming a feature vector for performing Internet of Things traffic classification and identification; performing traffic classification and identification based on a multi-stage machine learning method, and training a classifier by using training data; employing the false Internet of Things equipment for simulating intrusion detection, employing the normal Internet of Things equipment for testing, and checking the detection rate. The main research of the method is a statistical-based equipment traffic classification and identification algorithm, and more selection is carried out based on statistical traffic data packets in the aspect of