Conan: Distributed Proofs of Compliance for Anonymous Data Collection
Mingxun Zhou, Giulia C. Fanti, Elaine Shi
Carnegie Mellon University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
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.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AIInternet Traffic Analysis and Secure E-voting
Cryptography and Data Security · Privacy-Preserving Technologies in Data
参考文献 27
此处列出前 3 条
引用本文 1
按被引量排序,此处列出前 3 条