The Method of Trajectory Privacy Preserving Based on Agent Forwarding Mechanism in Mobile Social Networks

doi:10.11999/JEIT151136

Volume 38 Issue 9

Sep. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(9): 2158-2164

The Method of Trajectory Privacy Preserving Based on Agent Forwarding Mechanism in Mobile Social Networks[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2158-2164. doi: 10.11999/JEIT151136

Citation:

The Method of Trajectory Privacy Preserving Based on Agent Forwarding Mechanism in Mobile Social Networks[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2158-2164. doi: 10.11999/JEIT151136

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The Method of Trajectory Privacy Preserving Based on Agent Forwarding Mechanism in Mobile Social Networks

doi: 10.11999/JEIT151136

Funds:

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)

Received Date: 2015-10-10
Rev Recd Date: 2016-02-18
Publish Date: 2016-09-19

Abstract

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 users request to the server to query, which hides the correlation between users real trajectory and the server in order to achieve users 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 servers query and communication.
- Mobile social network,
- Trajectory privacy-preserving,
- Secure multi-party computation,
- Inner product secure computation

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References(23)

References

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