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

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › 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 of IEEE 34th International Conference on Data Engineering, ICDE 2018
Publisher	IEEE
Pages	1797-1798
Number of pages	2
ISBN (Electronic)	9781538655207
DOIs	https://doi.org/10.1109/ICDE.2018.00256
Publication status	Published - 24 Oct 2018
Event	34th IEEE International Conference on Data Engineering, ICDE 2018 - Paris, France Duration: 16 Apr 2018 → 19 Apr 2018 https://ieeexplore.ieee.org/xpl/conhome/8476188/proceeding

Publication series

Name	Proceedings of IEEE International Conference on Data Engineering, ICDE
ISSN (Print)	1063-6382
ISSN (Electronic)	2375-026X

Conference

Conference	34th IEEE International Conference on Data Engineering, ICDE 2018
Country/Territory	France
City	Paris
Period	16/04/18 → 19/04/18
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8476188/proceeding

Scopus Subject Areas

Information Systems
Information Systems and Management
Hardware and Architecture

User-Defined Keywords

Aggregate Quereis
Merkel Hash Tree
Query Authentication
Set Valued Data

Access to Document

10.1109/ICDE.2018.00256

Cite this

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title = "Authenticating aggregate queries over set-valued data with confidentiality (extended abstract)",

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",

note = "Funding Information: This work was supported by Research Grants Council (RGC) of Hong Kong under GRF Projects 12244916, 15238116, 12202414, 12200114, 12200914, CRF Project C1008-16G, and NSFC Grant 61370231. Haibo Hu is also supported by PolyU Start-up Fund. Publisher copyright: {\textcopyright} 2017 IEEE; 34th IEEE International Conference on Data Engineering, ICDE 2018 ; Conference date: 16-04-2018 Through 19-04-2018",

year = "2018",

month = oct,

day = "24",

doi = "10.1109/ICDE.2018.00256",

language = "English",

series = "Proceedings of IEEE International Conference on Data Engineering, ICDE",

publisher = "IEEE",

pages = "1797--1798",

booktitle = "Proceedings of IEEE 34th International Conference on Data Engineering, ICDE 2018",

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url = "https://ieeexplore.ieee.org/xpl/conhome/8476188/proceeding",

}

Xu, C, Chen, Q, Hu, H, Xu, J & Hei, X 2018, Authenticating aggregate queries over set-valued data with confidentiality (extended abstract). in Proceedings of IEEE 34th International Conference on Data Engineering, ICDE 2018. Proceedings of IEEE International Conference on Data Engineering, ICDE, IEEE, 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 of IEEE 34th International Conference on Data Engineering, ICDE 2018. IEEE, 2018. p. 1797-1798 (Proceedings of IEEE International Conference on Data Engineering, ICDE).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AU - Hu, Haibo

AU - Xu, Jianliang

AU - Hei, Xiaojun

N1 - Funding Information: This work was supported by Research Grants Council (RGC) of Hong Kong under GRF Projects 12244916, 15238116, 12202414, 12200114, 12200914, CRF Project C1008-16G, and NSFC Grant 61370231. Haibo Hu is also supported by PolyU Start-up Fund. Publisher copyright: © 2017 IEEE

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KW - Set Valued Data

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

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User-Defined Keywords

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