@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 ; 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",
}