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Mobile Information Systems
Volume 2019, Article ID 9297181, 11 pages
Research Article

One More Accuracy k-Anonymity Framework for LBS

1School of Information Management, Shanxi University of Finance and Economics, Taiyuan 030006, China
2College of Computer Science, Taiyuan University of Technology, Taiyuan 030024, China

Correspondence should be addressed to Fang Zheng; moc.621@42301102ecila

Received 3 February 2019; Revised 8 July 2019; Accepted 1 September 2019; Published 29 September 2019

Academic Editor: Claudio Agostino Ardagna

Copyright © 2019 Fang Zheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


To achieve privacy protection in the k-anonymity algorithm, replacing the starting positions of k users with the center of the cloaked area results in the route from the starting position to the center of the cloaked area probably nonlinear, which will bring out the inconvenience for the user. This paper proposes a new anonymous server framework, on which we add the function of electronic map and navigation compared to the original one based on the framework of k-anonymity for LBS. In addition to the original tasks including computing the center of cloaked area and the actual query result corresponding to the query , the anonymous server with the new architecture will plan the actual path from the starting query location to the center of the cloaked area and return the new result collection of for the user . Moreover, this paper improves the algorithm of computing the route to make it more in line with the actual situation of road network operation. Finally, we prove the importance of the approach by the experiment demonstration.