Privacy-preserving Indoor Localization in Cloud Environments Based on Ranging Transformation and Inner Product Encryption
Cloud-based indoor positioning services offer advantages over non-cloud approaches, but also face serious privacy concerns. How to utilize an untrusted cloud server for location computation while not allowing the server to obtain the localization results is the most challenge in solving the privacy...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2024-10-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-4-2024/711/2024/isprs-archives-XLVIII-4-2024-711-2024.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|