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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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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science (PLoS)
2017-01-01
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| シリーズ: | PLoS ONE |
| オンライン･アクセス: | http://europepmc.org/articles/PMC5540611?pdf=render |
| タグ: |
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