<scp>Conan:</scp> Distributed Proofs of Compliance for Anonymous Data Collection
Mingxun Zhou, Giulia Fanti, Elaine Shi
Carnegie Mellon University
内容与影响
We consider how to design an anonymous data collection protocol that enforces compliance rules. Imagine that each client contributes multiple data items (e.g., votes, location crumbs, or secret shares of its input) to an abstraction of an anonymous network, which mixes all clients' data items so that the receiver cannot determine which data items belong to the same user. Now, each user must prove to an auditor that the set it contributed satisfies a compliance predicate, without identifying which items it contributed. For example, the auditor may want to ensure that no voter voted for the same candidate twice, or that a user's location crumbs are not too far apart in a given time interval.
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计算机 / AIInternet Traffic Analysis and Secure E-voting
Cryptography and Data Security · Privacy-Preserving Technologies in Data
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