Authenticating aggregate queries over set-valued data with confidentiality (extended abstract)

Cheng Xu; Qian Chen; Haibo Hu; Jianliang Xu; Xiaojun Hei

doi:10.1109/ICDE.2018.00256

Authenticating aggregate queries over set-valued data with confidentiality (extended abstract)

Cheng Xu, Qian Chen, Haibo Hu, Jianliang Xu, Xiaojun Hei

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

With recent advances in data-As-A-service (DaaS) and cloud computing, aggregate query services over set-valued data are becoming widely available for business intelligence that drives decision making. However, as the service provider is often a third-party delegate of the data owner, the integrity of the query results cannot be guaranteed and is thus imperative to be authenticated. Unfortunately, existing query authentication techniques either do not work for set-valued data or they lack data confidentiality. In this paper, we propose authenticated aggregate queries over set-valued data that not only ensure the integrity of query results but also preserve the confidentiality of source data.

Original language	English
Title of host publication	Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1797-1798
Number of pages	2
ISBN (Electronic)	9781538655207
DOIs	https://doi.org/10.1109/ICDE.2018.00256
Publication status	Published - 16 Apr 2018
Event	34th IEEE International Conference on Data Engineering, ICDE 2018 - Paris, France Duration: 16 Apr 2018 → 19 Apr 2018

Publication series

Name	Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018

Conference

Conference	34th IEEE International Conference on Data Engineering, ICDE 2018
Country/Territory	France
City	Paris
Period	16/04/18 → 19/04/18

Keywords

Aggregate Quereis
Merkel Hash Tree
Query Authentication
Set Valued Data

ASJC Scopus subject areas

Information Systems
Information Systems and Management
Hardware and Architecture

More information

10.1109/ICDE.2018.00256

Cite this

Xu, C., Chen, Q., Hu, H., Xu, J., & Hei, X. (2018). Authenticating aggregate queries over set-valued data with confidentiality (extended abstract). In Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018 (pp. 1797-1798). Article 8509477 (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDE.2018.00256

Xu, Cheng ; Chen, Qian ; Hu, Haibo et al. / Authenticating aggregate queries over set-valued data with confidentiality (extended abstract). Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1797-1798 (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018).

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abstract = "With recent advances in data-As-A-service (DaaS) and cloud computing, aggregate query services over set-valued data are becoming widely available for business intelligence that drives decision making. However, as the service provider is often a third-party delegate of the data owner, the integrity of the query results cannot be guaranteed and is thus imperative to be authenticated. Unfortunately, existing query authentication techniques either do not work for set-valued data or they lack data confidentiality. In this paper, we propose authenticated aggregate queries over set-valued data that not only ensure the integrity of query results but also preserve the confidentiality of source data.",

keywords = "Aggregate Quereis, Merkel Hash Tree, Query Authentication, Set Valued Data",

author = "Cheng Xu and Qian Chen and Haibo Hu and Jianliang Xu and Xiaojun Hei",

year = "2018",

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doi = "10.1109/ICDE.2018.00256",

language = "English",

series = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1797--1798",

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note = "34th IEEE International Conference on Data Engineering, ICDE 2018 ; Conference date: 16-04-2018 Through 19-04-2018",

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Xu, C, Chen, Q, Hu, H, Xu, J & Hei, X 2018, Authenticating aggregate queries over set-valued data with confidentiality (extended abstract). in Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018., 8509477, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1797-1798, 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, 16/04/18. https://doi.org/10.1109/ICDE.2018.00256

Authenticating aggregate queries over set-valued data with confidentiality (extended abstract). / Xu, Cheng; Chen, Qian; Hu, Haibo et al.
Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1797-1798 8509477 (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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KW - Set Valued Data

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Xu C, Chen Q, Hu H, Xu J, Hei X. Authenticating aggregate queries over set-valued data with confidentiality (extended abstract). In Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1797-1798. 8509477. (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018). doi: 10.1109/ICDE.2018.00256

Authenticating aggregate queries over set-valued data with confidentiality (extended abstract)

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