Privacy-preserving indoor localization based on inner product encryption in a cloud environment

作者：

Highlights：

• A cloud-based indoor positioning service framework is proposed.

• Inner product encryption is used to prevent privacy leakage in positioning.

• Optimization methods are devised to speed up the positioning process.

• The scheme achieves better balance between security, accuracy and efficiency.

摘要

•A cloud-based indoor positioning service framework is proposed.•Inner product encryption is used to prevent privacy leakage in positioning.•Optimization methods are devised to speed up the positioning process.•The scheme achieves better balance between security, accuracy and efficiency.

论文关键词：Indoor positioning,Privacy preserving,Inner product encryption,Time difference of arrival,Cloud computing

论文评审过程：Received 12 August 2021, Revised 14 December 2021, Accepted 17 December 2021, Available online 28 December 2021, Version of Record 10 January 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.108005