A new location‐based privacy protection algorithm with deep learning
Author:
Affiliation:
1. Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia
2. Faculty of Graduate Studies for Statistical Research Cairo University Cairo Egypt
Publisher
Wiley
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/spy2.139
Reference19 articles.
1. ZhuZ CaoG.APPLAUS: a privacy‐preserving location proof updating system for location‐based services. Paper presented at: 2011 Proceedings IEEE INFOCOM Shanghai;2011:1889‐1897.https://doi.org/10.1109/INFCOM.2011.5934991.
2. Privacy protection for users of location-based services
3. LiQ CaoG.Providing privacy‐aware incentives for mobile sensing. Paper presented at: 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom) San Diego CA;2013:76‐84.https://doi.org/10.1109/PerCom.2013.6526717.
4. WangH TerrovitisM MamoulisN.Location recommendation in location‐based social networks using user check‐in data. Paper presented at: 2013 GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems;2013.https://doi.org/10.1145/2525314.2525357.
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