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...

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Egile Nagusiak: Haitao Zhang, Chenxue Wu, Zewei Chen, Zhao Liu, Yunhong Zhu
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Public Library of Science (PLoS) 2017-01-01
Saila:PLoS ONE
Sarrera elektronikoa:http://europepmc.org/articles/PMC5540611?pdf=render
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