Internet of Things equipment access detection method and system based on SMOTE and parallel random forest
An Internet of Things device and random forest technology, applied in the field of machine learning, can solve problems such as time-consuming, low detection accuracy of Internet of Things devices, and large differences
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[0046] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.
[0047] The basic idea of the present invention is to provide an IoT device access detection method based on SMOTE and parallel random forest, which firstly extracts device fingerprint feature information according to the data stream in the IoT device access configuration stage. According to the feature information of the device fingerprint, a feature matrix is constructed. Considering the low...
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