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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Protecting User Preference in Ranked Queries
Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0130492
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 4, 2022.
Abstract: Protecting data privacy is of extremely importance for users who outsource their data to a third-party in cloud computing. Although there exist plenty of research work on data privacy protection, the problem of protecting user’s preference information has received less attention. In this paper, we consider the problem of how to prevent user preference information leakage from the third-party when processing ranked queries. We propose two algorithms to solve the problem, where the first one is based on distortion of preference vector and the second one is based on homomorphic encryption. We conduct extensive experiments to verify effectiveness of our approaches.
Keywords: Preference privacy; distortion; homomorphic encryption
Rong Tang and Xinyu Yu, “Protecting User Preference in Ranked Queries” International Journal of Advanced Computer Science and Applications(IJACSA), 13(4), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130492
@article{Tang2022,
title = {Protecting User Preference in Ranked Queries},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130492},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130492},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {4},
author = {Rong Tang and Xinyu Yu}
}
