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.

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}
}