Privacy preserving serial publication of transactional data
作者：
Highlights：
• A probabilistic model to calculate the risk of a serial publication is developed.
• A novel publication mechanism Sanony that prudently uses counterfeits to prevent composition attacks is developed.
• An empirical evaluation demonstrates the effectiveness of Sanony in preserving strong privacy guarantees without entirely diminishing the utility of the published data.
摘要
•A probabilistic model to calculate the risk of a serial publication is developed.•A novel publication mechanism Sanony that prudently uses counterfeits to prevent composition attacks is developed.•An empirical evaluation demonstrates the effectiveness of Sanony in preserving strong privacy guarantees without entirely diminishing the utility of the published data.
论文关键词：Privacy preservation,Serial publication,Data anonymisation,Transactional data
论文评审过程：Received 10 April 2018, Revised 14 November 2018, Accepted 3 January 2019, Available online 25 January 2019, Version of Record 29 January 2019.
论文官网地址：https://doi.org/10.1016/j.is.2019.01.001
