A survey of game theoretical privacy preservation for data sharing and publishing

Datong Wu, Xiaotong Wu*, Jiaquan Gao, Genlin Ji, Taotao Wu, Xuyun Zhang, Wanchun Dou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Privacy preservation has been one of the biggest concerns in data sharing and publishing. The wide-spread application of data sharing and publishing contributes to the utilization of data, but brings a severe risk of privacy leakage. Although the corresponding privacy preservation techniques have been proposed, it is inevitable to decrease the accuracy of data. More importantly, it is a challenge to analyze the behaviors and interactions among different participants, including data owners, collectors and adversaries. For data owners and collectors, they need to select proper privacy preservation mechanisms and parameters to maximize their utility under a certain amount of privacy guarantee. For data adversaries, their objective is to get the sensitive information by various attack measurements. In this paper, we survey the related work of game theory-based privacy preservation under data sharing and publishing. We also discuss the possible trends and challenges of the future research. Our survey provides a systematic and comprehensive understanding about privacy preservation problems under data sharing and publishing.

Original languageEnglish
Title of host publicationSecurity and Privacy in Digital Economy
Subtitle of host publication1st International Conference, SPDE 2020, Proceedings
EditorsShui Yu, Peter Mueller, Jiangbo Qian
Place of PublicationSingapore, Singapore
PublisherSpringer, Springer Nature
Pages205-216
Number of pages12
ISBN (Electronic)9789811591297
ISBN (Print)9789811591280
DOIs
Publication statusPublished - 2020
Event1st International Conference on Security and Privacy in Digital Economy, SPDE 2020 - Quzhou, China
Duration: 30 Oct 20201 Nov 2020

Publication series

NameCommunications in Computer and Information Science
Volume1268 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference1st International Conference on Security and Privacy in Digital Economy, SPDE 2020
CountryChina
CityQuzhou
Period30/10/201/11/20

Keywords

  • Data privacy
  • Data sharing and publishing
  • Game theory
  • Nash equilibrium

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