移动社交网络中基于代理转发机制的轨迹隐私保护方法

doi:10.11999/JEIT151136

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Abstract

The trajectory K-anonymous is the mainstream of the current trajectory privacy protection, but the method has some defects such as privacy leakage. In this paper, a method of trajectory privacy preserving is proposed Based on Agent Forwarding Mechanism (BAFM) in mobile social networks, which uses secure multi-party computation and inner product secure computation to find the best matching user by the trusted server as the agent. The agent forwards the user’s request to the server to query, which hides the correlation between user’s real trajectory and the server in order to achieve user’s trajectory privacy. Security analysis shows that the propose method can effectively protect the user's trajectory privacy. Experiments show that the proposed method is more effective, it reduces the overhead of server’s query and communication.

Key words： Mobile social network Trajectory privacy-preserving Secure multi-party computation Inner product secure computation

Received: 10 October 2015 Published: 26 April 2016

PACS:

TP393

Fund:

The National Natural Science Foundation of China (61472451, 61272151, 61402161, 61502163), The Fundamental Research Funds for the Central Universities of Central South University (2016zzts058, 2016zzts060)

Corresponding Authors: WANG Guojun E-mail: csgjwang@csu.edu.cn

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http://jeit.ie.ac.cn/EN/10.11999/JEIT151136 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I9/2158

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