Privacy protection system and method based on big data analysis and trusted computing

Abstract

The invention discloses a privacy protection system and method based on big data analysis and trusted computing. The privacy protection system comprises a user side, an authentication server and an access terminal, the user side is in wireless connection with the authentication server and the access terminal, the authentication server is in wireless connection with the access terminal, the privacyprotection system further comprises an alarm module, and the alarm module is in wireless connection with the authentication server and the access terminal. The user side comprises a login module, a first receiving module, an analysis module, an encryption module and a first output module, the login module and the first receiving module are electrically connected with the analysis module, and theanalysis module, the encryption module and the first output module are electrically connected in sequence; the module is reasonable in design, the privacy protection strength is improved by endowing the pseudonym operation through the authentication server, meanwhile, during network access, the situation that a user reduces the privacy leakage risk can be effectively avoided, and high practicability is achieved.

Description

technical field [0001] The invention relates to the technical field of big data analysis, in particular to a privacy protection system and method based on big data analysis and trusted computing. Background technique [0002] With the rapid development of wireless communication technology, Internet technology and Web resources are becoming more and more abundant. During the process of network access, more and more Internet information retrieval applications provide personalized information by analyzing user behavior and learning user preferences to optimize the retrieval mechanism. Retrieval service. [0003] However, during this process, the system collects and analyzes a large amount of user personal information, which can easily lead to the leakage of user privacy, and the user's personal information cannot be guaranteed and safely protected, which brings us inconvenience. [0004] In response to the above problems, we designed a privacy protection system and method base...

AI Technical Summary

Problems solved by technology

[0003] However, during this process, the system collects and analyzes a large amount of user personal information, which can easily lead to the leakage of user privacy, and the user's personal information cannot be guaranteed and safely protected, which brings us inconvenience

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