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

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

基金项目:

国家自然科学基金(61472451, 61272151, 61402161, 61502163)，中南大学中央高校基本科研业务费专项资金资助

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- 被引次数: 0
出版历程
- 收稿日期: 2015-10-10
- 修回日期: 2016-02-18
- 刊出日期: 2016-09-19

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

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)

摘要

摘要: K匿名技术是当前轨迹隐私保护的主流方法，但该方法也存在隐私泄露的风险。该文提出一种在移动社交网络中基于代理转发机制(BAFM)的轨迹隐私保护方法。该方法利用安全多方计算和内积安全计算进行隐私加密匹配，通过可信服务器在移动社交网络中找最匹配的用户做代理，然后由代理转发用户的请求到服务器进行查询，隐藏用户的真实轨迹与位置服务器的联系，有效保护用户的轨迹隐私。安全分析表明该方法能有效保护用户的轨迹隐私；同时，通过实验验证该方法相对K匿名更高效，能减小服务器的查询和通信开销。
- 移动社交网络 /
- 轨迹隐私保护 /
- 安全多方计算 /
- 内积安全计算
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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参考文献(23)

LU Rongxing, LIN Xiaodong, LIANG Xiaohui, et al. A dynamic privacy preserving key management scheme for location-based services in vanets[J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(1): 127-139. doi: 10.1109/TITS.2011.2164068.

霍峥, 孟小峰, 黄毅. PrivateCheckIn: 一种移动社交网络中的轨迹隐私保护方法[J]. 计算机学报, 2013, 36(4): 716-726. doi: 10.3724/SP.J.1016.2013.00716.

HUO Zheng, MENG Xiaofeng, and HUANG Yi. PrivateCheckIn: Trajectory privacy-preserving for check-in services in MSNS[J]. Chinese Journal of Computers, 2013, 36(4): 716-726. doi: 10.3724/SP.J.1016.2013.00716.

LEI P R, PENG W C, SU I J, et al. Dummy-based schemes for protecting movement trajectories[J]. Journal of Information Science and Engineering, 2012, 28(2): 335-350.

YOU T H, PENG W C, and LEE W C. Protecting moving trajectories with dummies[C]. Proceedings of the 8th International Conference on Mobile Data Management, Mannheim, Germany, 2007: 278-282. doi: 10.1109/MDM. 2007.58.

TERROVITIS M and MAMOULIS N. Privacy preservation in the publication of trajectories[C]. Proceedings of the 9th International Conference on Mobile Data Management, Beijing, 2008: 65-72. doi: 10.1109/MDM. 2008.29.

赵婧, 张渊, 李兴华, 等. 基于轨迹频率抑制的轨迹隐私保护方法[J]. 计算机学报, 2014, 37(10): 2096-2106. doi: 10.3724/ SP.J.1016.2014.02096.

ZHAO Jing, ZHANG Yuan, LI Xinghua, et al. A trajectory privacy protection approach via trajectory frequency suppression[J]. Chinese Journal of Computers, 2014, 37(10): 2096-2106. doi: 10.3724/SP.J.1016.2014.02096.

HWANG R H, HSUEH Y L, and CHUNG H W. A novel time-obfuscated algorithm for trajectory privacy protection[J]. IEEE Transactions on Services Computing, 2014, 7(2): 126-139. doi: 10.1109/TSC.2013.55.

朱怀杰, 王佳英, 王斌, 等. 障碍空间中保持位置隐私的最近邻查询方法[J]. 计算机研究与发展, 2014, 51(1): 115-125. doi: 10.7544/issn1000-1239.2014.20130694.

ZHU Huaijie, WANG Jiaying, WANG Bin, et al. Location privacy preserving obstructed nearest neighbor queries[J]. Journal of Computer Research and Development, 2014, 51(1): 115-125. doi: 10.7544/issn1000-1239.2014.20130694.

杨静, 张冰, 张健沛, 等. 基于图划分的个性化轨迹隐私保护方法[J]. 通信学报, 2015, 36(3): 1-11. doi: 10.11959/j.issn. 1000-436x.2015053.

YANG Jing, ZHANG Bing, ZHANG Jianpei, et al. Personalized trajectory privacy preserving method based on graph partition[J]. Journal on Communications, 2015, 36(3): 1-11. doi: 10.11959/j.issn.1000-436x.2015053.

王超, 杨静, 张健沛. 基于轨迹位置形状相似性的隐私保护算法[J]. 通信学报, 2015, 36(2): 144-157. doi: 10.11959/j.issn. 1000-436x.2015043.

WANG Chao, YANG Jing, and ZHANG Jianpei. Privacy preserving algorithm based on trajectory location and shape similarity[J]. Journal on Communications, 2015, 36(2): 144-157. doi: 10.11959/j.issn.1000-436x.2015043.

XU T and CAI Y. Exploring historical location data for anonymity preservation in location-based services[C]. Proceedings of the 27th International Conference on Computer Communications(INFOCOM 2008), Toronto, Canada, 2008: 547-555. doi: 10.1109/INFOCOM.2008.103.

GAO Sheng, MA Jianfeng, SHI Weisong, et al. TrPF: a trajectory privacy-preserving framework for participatory sensing[J]. IEEE Transactions on Information Forensics and Security, 2013, 8(6): 874-887. doi: 10.1109/TIFS.2013. 2252618.

NIU Ben, ZHU Xiaoyan, CHI Haotian, et al. 3PLUS: privacy-preserving pseudo-location updating system in location-based services[C]. 2013 IEEE Wireless Communications and Networking Conference, Shanghai, China, 2013: 4564-4569. doi: 10.1109/WCNC.2013.6555314.

GENKIN D, ISHAI Y, and POLYCHRONIADOU A. Efficient multi-party computation: from passive to active security via secure SIMD circuits[C]. Proceedings of the 35th Annual Cryptology Conference, Santa Barbara, USA, 2015: 721-741. doi: 10.1007/978-3-662-48000-7-35.

ZHU Xiaoyan, LIU Jie, JIANG Shunrong, et al. Efficient weight-based private matching for proximity-based mobile social networks[C]. 2014 IEEE International Conference on Communications, Sydney, Australia, 2014: 4114-4119. doi: 10.1109/ICC.2014.6883965.

BRINKHOFF T. Generating traffic data[J]. Bulletin of the Technical Committee Data Engineering, 2003, 26(2): 19-25.

PAN Xiao, XU Jianliang, and MENG Xiaofeng. Protecting location privacy against location-dependent attacks in mobile services[J]. IEEE Transactions on Knowledge and Data Engineering, 2012, 24(8): 1506-1519. doi: 10.1109/TKDE. 2011.105.

WANG Yu, XU Dingbang, HE Xiao, et al. L2p2: Location-aware location privacy protection for location-based services[C]. Proceedings IEEE INFOCOM, Orlando, Florida USA, 2012: 1996-2004. doi: 10.1109/INFOCOM.2012. 6195577.

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