Edge computing terminal security level evaluation method for random forest

Abstract

The invention discloses an edge computing terminal security level evaluation method for a random forest. The terminal security level evaluation method comprises the following steps: S1, setting security test items of a terminal and test results of the security test items; S2, testing the accessed intelligent terminal; S3, determining a corresponding relationship between the security level of the intelligent terminal and the single test result set; S4, calculating a security level corresponding to each edge terminal to obtain a data set; S5, dividing the data set into a training set and a testset; s6, inputting the training set into a random forest for training to obtain a mature classifier model; s7, inputting the test set into a random forest classifier model obtained through training, and comparing an obtained test result with the security level in the step S4 to obtain a standard classifier; and S8, evaluating the security level of the newly accessed terminal by using the standardclassifier model. According to the method, the data security requirements of the edge terminal are divided according to the grades, and edge computing side terminal security assessment can be carriedout through a quantized objective standard according to confronted security risks and system complexity.

Description

technical field [0001] The present invention relates to an edge computing terminal security level evaluation method, in particular to a random forest edge computing terminal security level evaluation method. Background technique [0002] With the rapid development and wide application of the Internet of Everything, smart terminals will become key nodes of the Internet of Everything and generate massive amounts of real-time data. According to IDC statistics, by 2020 there will be more than 50 billion terminals and devices connected to the network, and more than 50% of the data will need to be analyzed, processed and stored at the edge of the network. Massive data generated by a large number of edge devices requires more agile connections, more efficient data processing, and better data protection. In the face of a large number of heterogeneous terminals accessing the Internet of Things, the edge computing side is also facing greater data security threats and hidden dangers, ...

AI Technical Summary

Problems solved by technology

In the face of a large number of heterogeneous terminals accessing the Internet of Things, the edge computing side is also facing greater data security threats and hidden dangers, and there are some untrusted terminals and illegal access problems of mobile edge application developers.

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