Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

Protecting User Preference in Ranked Queries

Author 1: Rong Tang Author 2: Xinyu Yu
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 4 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.0130492

Download PDF Cite Call for Papers

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

How to Cite this Article

Tang, R., & Yu, X. (2022). Protecting User Preference in Ranked Queries. International Journal of Advanced Computer Science and Applications, 13(4). https://doi.org/10.14569/IJACSA.2022.0130492

Tang, Rong, and Xinyu Yu. "Protecting User Preference in Ranked Queries." International Journal of Advanced Computer Science and Applications, vol. 13, no. 4, 2022, https://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},
  volume    = {13},
  number    = {4},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Rong Tang and Xinyu Yu},
  doi       = {10.14569/IJACSA.2022.0130492},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130492}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA