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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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| Udgivet i: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Public Library of Science
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5540611/ https://ncbi.nlm.nih.gov/pubmed/28767687 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0182232 |
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