Hiding in the forest: Privacy-preserving process performance indicators

作者：

Highlights：

• A framework for privatizing PPIs, and differentially private release mechanisms.

• A method for automatically selecting the optimal instantiation of the framework.

• An extension for forests of PPIs, optimizing privacy budget consumption.

• Evaluations on synthetic and real data indicate the feasibility of the approaches.

摘要

•A framework for privatizing PPIs, and differentially private release mechanisms.•A method for automatically selecting the optimal instantiation of the framework.•An extension for forests of PPIs, optimizing privacy budget consumption.•Evaluations on synthetic and real data indicate the feasibility of the approaches.

论文关键词：Performance indicators,Process monitoring,Differential privacy

论文评审过程：Received 9 March 2022, Revised 19 July 2022, Accepted 24 July 2022, Available online 22 September 2022, Version of Record 22 October 2022.

论文官网地址：https://doi.org/10.1016/j.is.2022.102127