Anti-network tracking privacy protection method and system based on identity behavior confusion

Abstract

The invention discloses an anti-network tracking privacy protection method and system based on identity behavior confusion. The method is as follows: 1) construct multiple virtual identities for the user; 2) the behavior splitting module assigns a corresponding virtual identity to each web service operation request sent in the user's real behavior chain; 3) the identity switching module takes the user The identity switches to the currently assigned virtual identity and executes the assigned web service operation request; and the behavior generation module generates a virtual behavior for the current virtual identity; Virtual request completes the behavior chain of the virtual identity; 4) Multiple virtual identities assigned to the user respectively feed back the returned results to the result fusion module for fusion, and then return the fusion results to the client where the user is located. The invention uses multiple identities to access, effectively protecting user privacy information.

Description

technical field [0001] The invention belongs to the field of cyberspace security and privacy protection, and in particular relates to an anti-network tracking privacy protection method and system based on identity behavior confusion. Background technique [0002] With the vigorous development of Internet services, users have more and more online behaviors. Various web services pay more attention to users' online behaviors, thereby providing more accurate recommendations and advertisements. Regardless of whether the user is logged into the website or not, the web service always identifies the user and records the user's behavior. Based on these user identities and behavioral data, web services can build powerful advertising services. Although recommendations or advertisements can bring some convenience to people's online life, they also pose certain threats to users' privacy. First of all, the identity service provider is not completely reliable, and there are many data le...

AI Technical Summary

Problems solved by technology

[0005] For the hiding of user behavior itself, that is, active protection methods include: (1) Actively modify user behavior records, such as modifying the user’s rating of a movie or using local differential privacy technology to add noise to user behavior records; Acquisition of user history information, such as using user-associated information to make recommendations or delete some user behavior records, because user behavior records are stored in the server, once issued, it is difficult to modify, these two methods can only be analyzed theoretically and cannot be applied to real scenarios Medium; (3) Completely anonymous methods, such as using proxy browsers such as Tor Browser to hide personal behavior, will affect the availability of services on the one hand, and on the other hand, these proxies with anonymous functions will be discovered or even banned by some regulatory agencies , it is difficult to take into account the user's requirements for the openness and security of network services

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