| 研究実績の概要 |
We developed a policy-based location privacy model, called PGLP, with both flexibility and rigorousness. We have proved that our model is a generalization of existing state-of-the-art location privacy models such as Geo-indistinguishability
(ACM CCS13) and delta-location set privacy (ACM CCS15). The flexibility is benefited with the customized "policy graph", which is a graph that defines what needs to be protected (i.e., satisfying indistinguishability) and what is not. One can specify suitable policy graph for better privacy-utility trade-off in a her application scenario.
Based on our techniques, we also design a privacy-preserving location privacy enhanced pandemic analysis and contact tracing prototype to help combat COVID-19.
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