Privacy risk assessment and privacy-preserving data monitoring

作者：

Highlights：

• We propose a Personal Data Analyser (PDA): a user-driven privacy-preserving solution.

• We introduce an AI-based privacy-preserving PII analysis and classification mechanism.

• A privacy risk assessment mechanism based on crisp and fuzzy models is presented.

• The tool is validated in the PoSeID-on H2020 Project using data from real users.

摘要

•We propose a Personal Data Analyser (PDA): a user-driven privacy-preserving solution.•We introduce an AI-based privacy-preserving PII analysis and classification mechanism.•A privacy risk assessment mechanism based on crisp and fuzzy models is presented.•The tool is validated in the PoSeID-on H2020 Project using data from real users.

论文关键词：Privacy preservation,Machine learning,Natural language processing,Personally identifiable information

论文评审过程：Received 22 July 2021, Revised 25 January 2022, Accepted 8 March 2022, Available online 24 March 2022, Version of Record 5 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116867