@inproceedings{cef5c1ab01a2462db05bcbf638eaf69d,
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: ACKNOWLEDGEMENT 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.; 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 - IEEE 34th International Conference on Data Engineering, ICDE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1797--1798",
booktitle = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",
address = "United States",
}