Document Type
Article
Source of Publication
PLoS ONE
Publication Date
8-1-2016
Abstract
© 2016 Pervez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Privacy-aware search of outsourced data ensures relevant data access in the untrusted domain of a public cloud service provider. Subscriber of a public cloud storage service can determine the presence or absence of a particular keyword by submitting search query in the form of a trapdoor. However, these trapdoor-based search queries are limited in functionality and cannot be used to identify secure outsourced data which contains semantically equivalent information. In addition, trapdoor-based methodologies are confined to predefined trapdoors and prevent subscribers from searching outsourced data with arbitrarily defined search criteria. To solve the problem of relevant data access, we have proposed an index-based privacy-aware search methodology that ensures semantic retrieval of data from an untrusted domain. This method ensures oblivious execution of a search query and leverages authorized subscribers to model conjunctive search queries without relying on predefined trapdoors. A security analysis of our proposed methodology shows that, in a conspired attack, unauthorized subscribers and untrusted cloud service providers cannot deduce any information that can lead to the potential loss of data privacy. A computational time analysis on commodity hardware demonstrates that our proposed methodology requires moderate computational resources to model a privacy-aware search query and for its oblivious evaluation on a cloud service provider.
DOI Link
ISSN
Publisher
Public Library of Science
Volume
11
Issue
8
Last Page
20
Disciplines
Computer Sciences
Keywords
access to information, Article, cloud computing, computer security, confidentiality, information retrieval, information service, privacy, algorithm, information retrieval, Internet, privacy, procedures, Algorithms, Cloud Computing, Computer Security, Information Storage and Retrieval, Internet, Privacy
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Pervez, Zeeshan; Ahmad, Mahmood; Khattak, Asad Masood; Lee, Sungyoung; and Chung, Tae Choong, "Privacy-aware relevant data access with semantically enriched search queries for untrusted cloud storage services" (2016). All Works. 2798.
https://zuscholars.zu.ac.ae/works/2798
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series