Paper 2013/627

Flexible and Publicly Verifiable Aggregation Query for Outsourced Databases in Cloud

Jiawei Yuan and Shucheng Yu

Abstract

For securing databases outsourced to the cloud, it is important to allow cloud users to verify that their queries to the cloud-hosted databases are correctly executed by the cloud. Existing solutions on this issue suffer from a high communication cost, a heavy storage overhead or an overwhelming computational cost on clients. Besides, only simple SQL queries (e.g., selection query, projection query, weighted sum query, etc) are supported in existing solutions. For practical considerations, it is desirable to design a client-verifiable (or publicly verifiable) aggregation query scheme that supports more flexible queries with affordable storage overhead, communication and computational cost for users. This paper investigates this challenging problem and proposes an efficient publicly verifiable aggregation query scheme for databases outsourced to the cloud. By designing a renewable polynomial-based authentication tag, our scheme supports a wide range of practical SQL queries including polynomial queries of any degrees, variance query and many other linear queries. Remarkably, our proposed scheme only introduces constant communication and computational cost to cloud users. Our scheme is provably secure under the Static Diffie-Hellman problem, the t-Strong Diffie-Hellman problem and the Computational Diffie-Hellman problem. We show the efficiency and scalability of our scheme through extensive numerical analysis.

Metadata
Available format(s)
PDF
Publication info
Preprint. MINOR revision.
Contact author(s)
jxyuan @ ualr edu
History
2013-09-30: received
Short URL
https://ia.cr/2013/627
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2013/627,
      author = {Jiawei Yuan and Shucheng Yu},
      title = {Flexible and Publicly Verifiable Aggregation Query for Outsourced Databases in Cloud},
      howpublished = {Cryptology {ePrint} Archive, Paper 2013/627},
      year = {2013},
      url = {https://eprint.iacr.org/2013/627}
}
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