Protecting Private Information for Two Classes of Aggregated Database Queries

[thumbnail of informatics-09-00066-v2 (2).pdf]
Preview
informatics-09-00066-v2 (2).pdf - Published Version (379kB) | Preview
Available under license: Creative Commons Attribution

Yang, Xuechao ORCID: 0000-0001-5621-767X, Yi, Xun ORCID: 0000-0001-7351-5724, Kelarev, Andrei ORCID: 0000-0001-9402-3534, Rylands, Leanne ORCID: 0000-0002-1908-8706, Lin, Yuqing ORCID: 0000-0002-6693-0433 and Ryan, Joe ORCID: 0000-0002-7781-0306 (2022) Protecting Private Information for Two Classes of Aggregated Database Queries. Informatics, 9 (3). ISSN 2227-9709

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/47865
DOI 10.3390/informatics9030066
Official URL https://www.mdpi.com/2227-9709/9/3/66
Subjects Current > FOR (2020) Classification > 4604 Cybersecurity and privacy
Current > Division/Research > Other
Keywords privacy protection; aggregated database queries; inference attacks; nonlinear queries
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login