VABS: Towards verifiable attribute-based search over shared cloud data

Yang Ji; Cheng Xu; Jianliang Xu; Haibo Hu

doi:10.1109/ICDE.2019.00231

VABS: Towards verifiable attribute-based search over shared cloud data

Yang Ji
, Cheng Xu
, Jianliang Xu
, Haibo Hu

Department of Computer Science

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

3 Citations (Scopus)

Abstract

With the proliferation of cloud computing and data-as-a-service (DaaS), more and more organizations and individuals outsource their data to a third-party service provider. While enjoying the benefits of cloud-based data outsourcing, the data owners are at the risk of losing control of data integrity and access management. In this demonstration, we present a system called vABS, which enables verifiable Attribute-Based Search over shared cloud data. The vABS system adopts the common DaaS architecture, in which the server provides search services to users on behalf of data owners. By employing a novel zero-knowledge approach proposed in our prior work [1], vABS not only provides users with good search experiences, but also supports authenticated query processing with fine-grained access control, which is crucial to many high-security applications.

Original language	English
Title of host publication	Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019
Publisher	IEEE Computer Society
Pages	2028-2031
Number of pages	4
ISBN (Electronic)	9781538674741
DOIs	https://doi.org/10.1109/ICDE.2019.00231
Publication status	Published - Apr 2019
Event	35th IEEE International Conference on Data Engineering, ICDE 2019 - Macau, China Duration: 8 Apr 2019 → 11 Apr 2019 https://doi.org/10.1109/ICDE44378.2019 (Conference proceedings)

Publication series

Name	Proceedings - International Conference on Data Engineering
Volume	2019-April
ISSN (Print)	1084-4627

Conference

Conference	35th IEEE International Conference on Data Engineering, ICDE 2019
Abbreviated title	ICDE 2019
Country/Territory	China
City	Macau
Period	8/04/19 → 11/04/19
Internet address	https://doi.org/10.1109/ICDE44378.2019 (Conference proceedings)

User-Defined Keywords

Access control
Data integrity
Verifiable search
Zero knowledge

Access to Document

10.1109/ICDE.2019.00231

Cite this

Ji, Y., Xu, C., Xu, J., & Hu, H. (2019). VABS: Towards verifiable attribute-based search over shared cloud data. In Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019 (pp. 2028-2031). Article 8731595 (Proceedings - International Conference on Data Engineering; Vol. 2019-April). IEEE Computer Society. https://doi.org/10.1109/ICDE.2019.00231

@inproceedings{9a471c5de9ae4af88269cd716994a967,

title = "VABS: Towards verifiable attribute-based search over shared cloud data",

abstract = "With the proliferation of cloud computing and data-as-a-service (DaaS), more and more organizations and individuals outsource their data to a third-party service provider. While enjoying the benefits of cloud-based data outsourcing, the data owners are at the risk of losing control of data integrity and access management. In this demonstration, we present a system called vABS, which enables verifiable Attribute-Based Search over shared cloud data. The vABS system adopts the common DaaS architecture, in which the server provides search services to users on behalf of data owners. By employing a novel zero-knowledge approach proposed in our prior work [1], vABS not only provides users with good search experiences, but also supports authenticated query processing with fine-grained access control, which is crucial to many high-security applications.",

keywords = "Access control, Data integrity, Verifiable search, Zero knowledge",

author = "Yang Ji and Cheng Xu and Jianliang Xu and Haibo Hu",

note = "Funding Information: ACKNOWLEDGEMENTS This work was partially supported by HK RGC grants (Project Nos. 12244916, 12201018, C1008-16G) and National Natural Science Foundation of China (Project Nos. 61572413, U1636205).; 35th IEEE International Conference on Data Engineering, ICDE 2019, ICDE 2019 ; Conference date: 08-04-2019 Through 11-04-2019",

year = "2019",

month = apr,

doi = "10.1109/ICDE.2019.00231",

language = "English",

series = "Proceedings - International Conference on Data Engineering",

publisher = "IEEE Computer Society",

pages = "2028--2031",

booktitle = "Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019",

address = "United States",

url = "https://doi.org/10.1109/ICDE44378.2019",

}

Ji, Y, Xu, C, Xu, J & Hu, H 2019, VABS: Towards verifiable attribute-based search over shared cloud data. in Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019., 8731595, Proceedings - International Conference on Data Engineering, vol. 2019-April, IEEE Computer Society, pp. 2028-2031, 35th IEEE International Conference on Data Engineering, ICDE 2019, Macau, China, 8/04/19. https://doi.org/10.1109/ICDE.2019.00231

VABS: Towards verifiable attribute-based search over shared cloud data. / Ji, Yang; Xu, Cheng; Xu, Jianliang et al.
Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. IEEE Computer Society, 2019. p. 2028-2031 8731595 (Proceedings - International Conference on Data Engineering; Vol. 2019-April).

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

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AU - Xu, Jianliang

AU - Hu, Haibo

N1 - Funding Information: ACKNOWLEDGEMENTS This work was partially supported by HK RGC grants (Project Nos. 12244916, 12201018, C1008-16G) and National Natural Science Foundation of China (Project Nos. 61572413, U1636205).

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N2 - With the proliferation of cloud computing and data-as-a-service (DaaS), more and more organizations and individuals outsource their data to a third-party service provider. While enjoying the benefits of cloud-based data outsourcing, the data owners are at the risk of losing control of data integrity and access management. In this demonstration, we present a system called vABS, which enables verifiable Attribute-Based Search over shared cloud data. The vABS system adopts the common DaaS architecture, in which the server provides search services to users on behalf of data owners. By employing a novel zero-knowledge approach proposed in our prior work [1], vABS not only provides users with good search experiences, but also supports authenticated query processing with fine-grained access control, which is crucial to many high-security applications.

AB - With the proliferation of cloud computing and data-as-a-service (DaaS), more and more organizations and individuals outsource their data to a third-party service provider. While enjoying the benefits of cloud-based data outsourcing, the data owners are at the risk of losing control of data integrity and access management. In this demonstration, we present a system called vABS, which enables verifiable Attribute-Based Search over shared cloud data. The vABS system adopts the common DaaS architecture, in which the server provides search services to users on behalf of data owners. By employing a novel zero-knowledge approach proposed in our prior work [1], vABS not only provides users with good search experiences, but also supports authenticated query processing with fine-grained access control, which is crucial to many high-security applications.

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KW - Data integrity

KW - Verifiable search

KW - Zero knowledge

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VABS: Towards verifiable attribute-based search over shared cloud data

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