Group Privacy Matching Method Based on Permutation Matrix

Abstract

The invention discloses a group privacy matching method based on a permutation matrix, which mainly solves the problem of ineffective safe matching between groups in the existing mobile social network, and its realization process is as follows: (1) determine the communication of the matching system (2) Generate a group privacy matching matrix; (3) Initiate a group to initiate a matching request, and respond to a group to respond; (4) Generate a matrix to be matched based on the group privacy matching matrix; (5) Calculate a weighted Manhattan distance based on the matrix to be matched (6) Calculate the matching value between groups; (7) Judge whether the matching is successful or not according to the matching value. By using the permutation matrix, the present invention confuses the weight values ​​of the corresponding attribute keywords of the group members, effectively protecting the user's private information; at the same time, the introduction of the trusted organization TA effectively solves the single-point damage attack and improves the efficiency of the matching process. Safety and feasibility, it can be used for secure matching between groups in mobile social networks.

Description

Technical field: [0001] The invention belongs to the technical field of network security, relates to the protection of personal privacy of group users, and can be used for group security matching and privacy protection in mobile social networks. Background technique: [0002] With the continuous improvement of Internet technology, social networks, especially mobile social networks, have been extensively developed. Social network is a form that reflects social communication groups that naturally develops with the application of the Internet such as Email, BBS, blog, and Weibo. platform. At the same time, mobile terminal devices such as smartphones and tablet computers are popularized, and it is becoming more and more popular to use mobile terminal devices to access social networks, and mobile social networks are gradually becoming mainstream. According to the latest report released in February 2013, more than half of social network users worldwide access social networks thr...

AI Technical Summary

Problems solved by technology

However, the current common privacy matching schemes are for the matching between two users, and the matching between users and user groups. There is currently no effective solution for the security matching between groups.

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