Personal computer use behavior monitoring method and system based on acoustic channel

Abstract

The present invention provides a personal computer use behavior monitoring method and system based on an acoustic channel. The personal computer use behavior monitoring method includes the following steps: step S1, collecting audio signals generated when the user operates the keyboard and mouse; step S2, collecting Perform data preprocessing on the received audio signal to extract the audio signal block; step S3, extract the feature data of the audio signal block, and perform model training on the feature data; step S4, test the trainer trained by the model, and identify the corresponding event ; Step S5, analyzing the usage behavior of the user according to the identified corresponding events. In the present invention, the classifier trained by supervised learning is combined with the method of model migration to realize the identification of monitoring events, and then it can provide a good data basis for analyzing the activities of users using computers based on event identification, so as to achieve the purpose of monitoring users. purpose of personal computer usage.

Description

technical field [0001] The present invention relates to a usage behavior monitoring method, in particular to a personal computer usage behavior monitoring method based on an acoustic channel, and a personal computer usage behavior monitoring system adopting the acoustic channel based personal computer usage behavior monitoring method. Background technique [0002] Nowadays, with the rapid development of computer technology, commercial-grade computers have become ubiquitous, whether in government agencies, various companies or schools, it has spread to every corner of life, especially the use of commercial-grade computers makes manpower Work efficiency is greatly improved. [0003] On the other hand, the research on acoustic event detection has also developed rapidly in recent decades, from speech background analysis to special acoustic event detection and retrieval. Existing research provides a basis for extracting high-level information by identifying the consequences of d...

AI Technical Summary

Problems solved by technology

The latest survey shows that the side-channel attack caused by the sound of some embedded or non-embedded electronic devices has become a recent hot research field as a part of computer security, but this existing side-channel attack focuses on eavesdropping on user input or written content

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