Privacy-preserving data aggregation without secure channel: Multivariate polynomial evaluation

@article{Jung2013PrivacypreservingDA,
  title={Privacy-preserving data aggregation without secure channel: Multivariate polynomial evaluation},
  author={Taeho Jung and XuFei Mao and Xiang-Yang Li and Shaojie Tang and Wei Gong and Lan Zhang},
  journal={2013 Proceedings IEEE INFOCOM},
  year={2013},
  pages={2634-2642}
}
Much research has been conducted to securely outsource multiple parties' data aggregation to an untrusted aggregator without disclosing each individual's privately owned data, or to enable multiple parties to jointly aggregate their data while preserving privacy. However, those works either require secure pair-wise communication channels or suffer from high complexity. In this paper, we consider how an external aggregator or multiple parties can learn some algebraic statistics (e.g., sum… CONTINUE READING
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