Intelligent equipment application identification method based on magnetic field data side channel analysis

Abstract

The invention discloses an intelligent equipment application identification method based on magnetic field data side channel analysis, which comprises an offline training stage and an online identification stage, and is characterized in that the offline training stage sequentially comprises four steps of magnetic field data acquisition, data preprocessing, data feature extraction and classification model training; the online identification stage sequentially comprises four steps of magnetic field data acquisition, data preprocessing, data feature extraction and application recognition, and the steps of magnetic field data acquisition and data feature extraction are the same as the steps of magnetic field data acquisition and data feature extraction in the offline training stage; compared with the step of data preprocessing in the offline training stage, the step of data preprocessing adds identification of the application starting window. And the application identification step is to input the data features extracted in the previous step into the classification model trained in the offline training stage to obtain a classification result. According to the invention, the application which is being used by the user can be perceived under the condition that the system authority is not obtained.

Description

technical field [0001] The invention belongs to the technical field of side channel analysis, and in particular relates to an intelligent device application identification method. Background technique [0002] As of 2019, there are approximately 5.7 billion mobile smart device users worldwide. The development of mobile smart devices has become an indispensable part of people's daily life. In 2019, the global shipment of mobile smart devices was 1.486 billion units. In comparison, the shipment of PCs was only 261 million units, showing a decreasing trend year by year. It can be seen that mobile smart devices will replace traditional PC devices as the main body of the Internet. The convenience of mobile smart devices makes them an indispensable part of people's life and work. The rich applications on the mobile smart platform greatly facilitate life, work and business activities. The use of tablet computers makes it easier for people to handle documents, read books, watch o...

AI Technical Summary

Problems solved by technology

However, the permission management of the smart device system is relatively strict, and non-system applications are not allowed to perceive the applications that the user is using.

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