| Summary: | The dummy-based location privacy mechanism using historical query probability suffers from low anonymity, small coverage area and imbalanced location distribution.To address the problem, a K-anonymous dummy-based locationselection algorithm is proposed for position privacy protection.The privacy of dummy anonymous set is enhanced by comprehensively considering the location dispersion of anonymous set and zero-query users.The algorithm selects the location of dummy through entropymeasure to make the entropy of the anonymous dummy set optimal.Then the anonymous result is optimized based on the offset distance of the location, and the location dispersion of the constructed anonymous set is improved.The simulation results show that the proposed algorithm displays a higher location dispersion degree of the dummy-based anonymous set than DLS, DLP, Enhanced_DLP and other algorithms.It significantly improves the performance of location privacy protection for users.
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