期刊
IEEE ACCESS
卷 6, 期 -, 页码 5678-5687出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2017.2783322
关键词
Mobile crowdsourcing; MCSS; location privacy; k-anonymity; differential privacy-preserving
资金
- National Natural Science Foundation of China [61502410, 61572418, 61602399, 61702439, 61403328, 61403329, 61472095]
- Natural Science Foundation of Shandong Province [ZR2014FQ026, ZR2016FM42]
- Project of Shandong Province Higher Educational Science and Technology Program [J15LN09]
With the development of mobile devices, mobile crowdsourcing has become the research hotspot in mobile crowd sensing networks (MCSS). How to protect the location privacy of mobile user in location-based services is a key problem in MCSS. However, with the increase of privacy-preserving level, the service quality will be influenced and decrease. In order to prevent mobile user's location privacy from being leaked, this paper proposes a location privacy-preserving mechanism CKD through combining k-anonymity and differential privacy-preserving. In addition, the tradeoff between privacy protection and service quality is solved based on Stackelberg game. Through comparison experiments, the proposed location privacy-preserving CKD is verified. In addition, the tradeoff between privacy protection and service quality can be solved by our location privacy-preserving.
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