Privacy protection method based on user classification

Abstract

The invention discloses a privacy protection method based on user classification, which mainly solves the problem of leakage of user privacy in the prior art. The scheme is: the query user sends a query request to the anonymous server; after receiving the request, the anonymous server first divides each candidate user into a new user and an old user, and then predicts the position of each new user at the previous moment; Evaluate the static reputation, dynamic reputation, and overall reputation of the movement trend in adjacent time intervals; finally select the user group information with the highest overall reputation value and the smallest anonymous area, together with the real user information, to form a final query set and send it to the location server; After receiving the information, the location server forms a candidate result set and returns it to the anonymous server; the anonymous server screens the results required by the real user and returns them. The invention adopts reputation evaluation and user classification mechanism, ensures user credibility and usability, can resist location injection attack, and can be used in various continuous query location services.

Description

technical field [0001] The invention belongs to the field of wireless network security, and in particular relates to a privacy protection method, which can be used in various continuous location query services and mainly resists location injection attacks. Background technique [0002] Location service LBS, also known as positioning service, is a value-added service provided by the combination of mobile communication network and satellite positioning system. It obtains the location information of the mobile terminal through a set of positioning technologies, such as longitude and latitude coordinate data, and stores the location The information is provided to the mobile user himself, other people or the communication system to realize various location-related services. [0003] Location-based services can be applied in different fields. At the same time, under the trend of the rapid development of the mobile Internet, various applications are also flourishing. In particular...

AI Technical Summary

Problems solved by technology

However, this method does not classify users, treats all users uniformly, and does not achieve detailed evaluation, so it is difficult to accurately quantify user reputation and user credibility; at the same time, how to effectively evaluate user reputation from other perspectives and establish what kind of user Issues such as the reputation evaluation mechanism have not been well resolved, so there is still a great risk of user privacy leakage under the traditional k-anonymity privacy protection system

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