Group privacy matching method based on permutation matrix

Abstract

The invention discloses a group privacy matching method based on a permutation matrix. The method is mainly used for solving the problem that the groups can not effectively perform safe matching with each other in the existing mobile social networking services. The implementation procedure of the method is as follows: (1) determining a communication mode of a matching system; (2) generating a group privacy matching matrix; (3) initiating a matching request through an initiation group and giving a response to the matching request through a response group; (4) generating a matrix to be matched based on the group privacy matching matrix; (5) calculating a weighted Manhattan distance matrix based on the matrix to be matched; (6) calculating a matching value between the groups; and (7) judging whether the matching is successful according to the matching value. By using the permutation matrix, the method of the invention obscures the weight of the attribute keyword corresponding to the group member and effectively protects the privacy information of a user. Simultaneously, by introducing trusted authority TA, the method of the invention effectively avoids a single-point destruction attack, improves security and feasibility of a matching process, and can be applied to the safe matching among groups in the mobile social networking services.

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 widely developed. A social network is a form of social communication groups developed naturally with the application of the Internet such as Email, BBS, blog, Weibo, etc. platform. At the same time, mobile terminal devices such as smart phones and tablet computers have become popular, and the use of mobile terminal devices to access social networks has become more and more popular, and mobile social networks have gradually become mainstream. The latest report released in February 2013 shows that more than half of the world's social network users access social networks through mobile de...

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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