Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/174897
Title: Decentralized data sharing using searchable encryption database with selective data retrieval
Authors: Gunawan, Andre
Tjuawinata, Ivan
Lam, Kwok-Yan
Chi, Chi-Hung
Keywords: Computer and Information Science
Issue Date: 2023
Source: Gunawan, A., Tjuawinata, I., Lam, K. & Chi, C. (2023). Decentralized data sharing using searchable encryption database with selective data retrieval. 2023 10th International Conference on ICT for Smart Society (ICISS). https://dx.doi.org/10.1109/ICISS59129.2023.10291467
Conference: 2023 10th International Conference on ICT for Smart Society (ICISS)
Abstract: Secure data sharing platform is an essential component in various fields, including smart cities, AI technologies as well as big data analysis where sensitive data may be owned by a large amount of entities with their own respective privacy concerns. In addition to the privacy issue, data sharing scheme needs to also preserve the data owner's sovereignty where the data owner should always have the ability to decide how the data can be shared. Moreover, in most cases, data sharing may not require the whole dataset to be shared to the requester, which implies that selective retrieval of parts of the data to be shared should also be a feature that can benefit the scheme. In this work, we propose a data sharing infrastructure and a scheme following such infrastructure which is constructed based on the recently proposed MongoDB Queryable encryption. In our scheme, we show that privacy and sovereignty can be guaranteed, which addresses all the concerns that we have previously identified.
URI: https://hdl.handle.net/10356/174897
ISBN: 979-8-3503-3954-3
DOI: 10.1109/ICISS59129.2023.10291467
Schools: School of Computer Science and Engineering 
Research Centres: Strategic Centre for Research in Privacy-Preserving Technologies & Systems (SCRIPTS)
Digital Trust Centre (DTC)
Rights: © 2023 IEEE. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1109/ICISS59129.2023.10291467.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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