Project Details
Description
a. To develop a suite of model-based and data-driven inference techniques for identifying the potential privacy breaches in smart city applications wherein the data from users are continuously collected by service providers; b. To develop a framework for the optimal design of privacy filters; andc. To ensure no smart city users has an incentive to deviate from the optimal design of the privacy filters.
| Project number | 9229078 |
|---|---|
| Grant type | DON_RMG |
| Status | Active |
| Effective start/end date | 1/07/21 → … |
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