A novel on-line spatial-temporal k-anonymity method for location privacy protection from sequence rules-based inference attacks

Analyzing large-scale spatial-temporal k-anonymity datasets recorded in location-based service (LBS) application servers can benefit some LBS applications. However, such analyses can allow adversaries to make inference attacks that cannot be handled by spatial-temporal k-anonymity methods or other m...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Haitao, Wu, Chenxue, Chen, Zewei, Liu, Zhao, Zhu, Yunhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540611/
https://www.ncbi.nlm.nih.gov/pubmed/28767687
http://dx.doi.org/10.1371/journal.pone.0182232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540611/
https://www.ncbi.nlm.nih.gov/pubmed/28767687
http://dx.doi.org/10.1371/journal.pone.0182232

Ejemplares similares