Adding tunable privacy-preserving noise to estimates from randomly chosen crowd sensors achieves any prescribed information leakage level about sensor identity in linear time-invariant systems.
Mobile crowdsensing: Curr ent state and future challenges,
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Privacy-Preserving State Estimation with Crowd Sensors: An Information-Theoretic Respective
Adding tunable privacy-preserving noise to estimates from randomly chosen crowd sensors achieves any prescribed information leakage level about sensor identity in linear time-invariant systems.