Privacy-Preserving Stream Aggregation with Fault Tolerance

T-H.  Hubert Chan; Elaine Shi; Dawn Song

Paper 2011/655

Privacy-Preserving Stream Aggregation with Fault Tolerance

T-H. Hubert Chan, Elaine Shi, and Dawn Song

Abstract

We consider applications where an untrusted aggregator would like to collect privacy sensitive data from users, and compute aggregate statistics periodically. For example, imagine a smart grid operator who wishes to aggregate the total power consumption of a neighborhood every ten minutes; or a market researcher who wishes to track the fraction of population watching ESPN on an hourly basis. We design novel mechanisms that allow an aggregator to accurately estimate such statistics, while offering provable guarantees of user privacy against the untrusted aggregator. Our constructions are resilient to user failure and compromise, and can efficiently support dynamic joins and leaves. Our constructions also exemplify the clear advantage of combining applied cryptography and differential privacy techniques.

Note: A conference version of the paper will appear at Financial Cryptography and Data Security 2012. We will put the full version of the paper here.

Metadata

Available format(s): PDF
Category: Applications
Publication info: Published elsewhere. Financial Cryptography and Data Security 2012
Keywords: Differential Privacy Periodic Aggregation Untrusted Aggregator Fault Tolerance Dynamic Users
Contact author(s): hubert @ cs hku hk
History: 2011-12-11: revised; 2011-12-09: received; See all versions
Short URL: https://ia.cr/2011/655
License: CC BY

BibTeX

@misc{cryptoeprint:2011/655,
      author = {T-H.  Hubert Chan and Elaine Shi and Dawn Song},
      title = {Privacy-Preserving Stream Aggregation with Fault Tolerance},
      howpublished = {Cryptology {ePrint} Archive, Paper 2011/655},
      year = {2011},
      url = {https://eprint.iacr.org/2011/655}
}