Outsourcing multi-version key-value stores with verifiable data freshness

Yuzhe Tang, Ling Liu, Ting Wang, Xin Hu, Reiner Sailer, Peter Pietzuch

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

In the age of big data, key-value data updated by intensive write streams is increasingly common, e.g., in social event streams. To serve such data in a cost-effective manner, a popular new paradigm is to outsource it to the cloud and store it in a scalable key-value store while serving a large user base. Due to the limited trust in third-party cloud infrastructures, data owners have to sign the data stream so that the data users can verify the authenticity of query results from the cloud. In this paper, we address the problem of verifiable freshness for multi-version key-value data. We propose a memory-resident digest structure that utilizes limited memory effectively and can have efficient verification performance. The proposed structure is named IncBM-Tree because it can INCrementally build a Bloom filter-embedded Merkle Tree. We have demonstrated the superior performance of verification under small memory footprints for signing, which is typical in an outsourcing scenario where data owners and users have limited resources.

Original languageEnglish (US)
Title of host publication2014 IEEE 30th International Conference on Data Engineering, ICDE 2014
PublisherIEEE Computer Society
Pages1214-1217
Number of pages4
ISBN (Print)9781479925544
DOIs
StatePublished - Jan 1 2014
Event30th IEEE International Conference on Data Engineering, ICDE 2014 - Chicago, IL, United States
Duration: Mar 31 2014Apr 4 2014

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Conference

Conference30th IEEE International Conference on Data Engineering, ICDE 2014
CountryUnited States
CityChicago, IL
Period3/31/144/4/14

Fingerprint

Outsourcing
Data storage equipment
Costs

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Information Systems

Cite this

Tang, Y., Liu, L., Wang, T., Hu, X., Sailer, R., & Pietzuch, P. (2014). Outsourcing multi-version key-value stores with verifiable data freshness. In 2014 IEEE 30th International Conference on Data Engineering, ICDE 2014 (pp. 1214-1217). [6816744] (Proceedings - International Conference on Data Engineering). IEEE Computer Society. https://doi.org/10.1109/ICDE.2014.6816744
Tang, Yuzhe ; Liu, Ling ; Wang, Ting ; Hu, Xin ; Sailer, Reiner ; Pietzuch, Peter. / Outsourcing multi-version key-value stores with verifiable data freshness. 2014 IEEE 30th International Conference on Data Engineering, ICDE 2014. IEEE Computer Society, 2014. pp. 1214-1217 (Proceedings - International Conference on Data Engineering).
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Tang, Y, Liu, L, Wang, T, Hu, X, Sailer, R & Pietzuch, P 2014, Outsourcing multi-version key-value stores with verifiable data freshness. in 2014 IEEE 30th International Conference on Data Engineering, ICDE 2014., 6816744, Proceedings - International Conference on Data Engineering, IEEE Computer Society, pp. 1214-1217, 30th IEEE International Conference on Data Engineering, ICDE 2014, Chicago, IL, United States, 3/31/14. https://doi.org/10.1109/ICDE.2014.6816744

Outsourcing multi-version key-value stores with verifiable data freshness. / Tang, Yuzhe; Liu, Ling; Wang, Ting; Hu, Xin; Sailer, Reiner; Pietzuch, Peter.

2014 IEEE 30th International Conference on Data Engineering, ICDE 2014. IEEE Computer Society, 2014. p. 1214-1217 6816744 (Proceedings - International Conference on Data Engineering).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Tang Y, Liu L, Wang T, Hu X, Sailer R, Pietzuch P. Outsourcing multi-version key-value stores with verifiable data freshness. In 2014 IEEE 30th International Conference on Data Engineering, ICDE 2014. IEEE Computer Society. 2014. p. 1214-1217. 6816744. (Proceedings - International Conference on Data Engineering). https://doi.org/10.1109/ICDE.2014.6816744