@inproceedings{cca8376c285248aeb8d3fe1cde2f3de7,
title = "Game theoretic data privacy preservation: Equilibrium and pricing",
abstract = "Privacy issues arising in the process of collecting, publishing and mining individuals' personal data have attracted much attention in recent years. In this paper, we consider a scenario where a data collector collects data from data providers and then publish the data to a data user. To protect data providers' privacy, the data collector performs anonymization on the data. Anonymization usually causes a decline of data utility on which the data user's profit depends, meanwhile, data providers' would provide more data if anonymity is strongly guaranteed. How to make a trade-off between privacy protection and data utility is an important question for data collector. In this paper we model the interactions among data providers/collector/user as a game, and propose a general approach to find the Nash equilibriums of the game. To elaborate the analysis, we also present a specific game formulation which takes k-anonymity as the anonymization method. Simulation results show that the game theoretical analysis can help the data collector to deal with the privacy-utility trade-off.",
keywords = "Nash equilibrium, data anonymization, game theory, privacy preserving",
author = "Lei Xu and Chunxiao Jiang and Jian Wang and Yong Ren and Jian Yuan and Mohsen Guizani",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Communications, ICC 2015 ; Conference date: 08-06-2015 Through 12-06-2015",
year = "2015",
month = sep,
day = "9",
doi = "10.1109/ICC.2015.7249454",
language = "English",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "7071--7076",
booktitle = "2015 IEEE International Conference on Communications, ICC 2015",
address = "United States",
}