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Adaboost-based mobile intelligent terminal security level classification method

A mobile intelligent terminal, security level technology, applied in the field of level classification, can solve problems such as privacy data leakage, and achieve the effects of strong portability, safe use, and wide application.

Inactive Publication Date: 2019-02-15
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

As the functions of third-party applications become more and more powerful, especially the integration of mobile smart terminals and the Internet is getting closer and closer, mobile online shopping platforms, mobile banking, chat software and other third-party software that are closely related to our property privacy are becoming more and more complicated. More and more, this also makes us inadvertently store property information, personal privacy, business confidential documents, etc. in mobile smart terminals, resulting in hidden dangers of privacy data leakage

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  • Adaboost-based mobile intelligent terminal security level classification method
  • Adaboost-based mobile intelligent terminal security level classification method
  • Adaboost-based mobile intelligent terminal security level classification method

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Embodiment Construction

[0047] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0048] Such as figure 1 As shown, the Adaboost-based mobile intelligent terminal security level classification method includes the following steps:

[0049] S1. On the edge computing platform, test the mobile smart terminal connected by N+P stations, and get the test result M 1 , M 2 ,...,M N ,...,M N+P ,M i Indicates the test result of the smart mobile terminal accessed by the i-th station, i=1,2,...,N+P, each M i Contains the test results of S test items, M i =[m 1 ,m 2 ,...,m S ] T , where m j is the test result of the jth test single item, j=1,2,...,S;

[0050] Specifically, the security performance of a smart mobile terminal is determined by S individual test items, such as SMS security, call security, third-party software ...

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Abstract

The invention discloses an Adaboost-based mobile intelligent terminal security level classification method. The method comprises the following steps of S1 testing the mobile intelligent terminal accessed by N + P station on the edge computing platform; 2 preprocessing each test result to obtain a test result vector and a safety level; 3 integrating that preprocessing results to obtain a data set T, and dividing the data set T into a training set and a test set; S4 according to the safety grade K, adopting the K-1 layer Adaboost algorithm model to train the training set, generating a strong classifier and verifying the accuracy through the test sets; S5 Testing the newly connected mobile intelligent terminal, and passing the test result through the strong classifier to obtain the security level of the mobile intelligent terminal. According to the test results of each single safety performance of the mobile intelligent terminal, the invention adopts the Adaboost algorithm to realize theaccurate division of the safety level of the mobile intelligent terminal on the edge computing platform, which is favorable for realizing the safe use of different safety level requirements.

Description

technical field [0001] The present invention relates to the security level classification of mobile intelligent terminals, in particular to an Adaboost-based security level classification method for mobile intelligent terminals. Background technique [0002] With the rapid development of mobile communication technology and the popularization of 4G / 5G wireless networks, mobile smart terminals play an increasingly important role in people's lives and become the main tool for obtaining information. As the functions of third-party applications become more and more powerful, especially the integration of mobile smart terminals and the Internet is getting closer and closer, mobile online shopping platforms, mobile banking, chat software and other third-party software that are closely related to our property privacy are becoming more and more complicated. This also makes us inadvertently store property information, personal privacy, business confidential documents, etc. in mobile s...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/241G06F18/214
Inventor 王丰文红候文静陈柳霏
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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