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- YAO Lin
- School of Software, Dalian University of Technology
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- WU Guowei
- School of Software, Dalian University of Technology
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- WANG Jia
- School of Software, Dalian University of Technology
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- XIA Feng
- School of Software, Dalian University of Technology
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- LIN Chi
- School of Software, Dalian University of Technology
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- WANG Guojun
- School of Information Science and Engineering, Central South University
この論文をさがす
説明
The continuous advances in sensing and positioning technologies have resulted in a dramatic increase in popularity of Location-Based Services (LBS). Nevertheless, the LBS can lead to user privacy breach due to sharing location information with potentially malicious services. A high degree of location privacy preservation for LBS is extremely required. In this paper, a clustering K-anonymity scheme for location privacy preservation (namely CK) is proposed. The CK scheme does not rely on a trusted third party to anonymize the location information of users. In CK scheme, the whole area that all the users reside is divided into clusters recursively in order to get cloaked area. The exact location information of the user is replaced by the cloaked spatial temporal boundary (STB) including K users. The user can adjust the resolution of location information with spatial or temporal constraints to meet his personalized privacy requirement. The experimental results show that CK can provide stringent privacy guarantees, strong robustness and high QoS (Quality of Service).
収録刊行物
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- IEICE Transactions on Information and Systems
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IEICE Transactions on Information and Systems E95-D (1), 134-142, 2012
一般社団法人 電子情報通信学会
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詳細情報 詳細情報について
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- CRID
- 1390282679355587968
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- NII論文ID
- 10030538789
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- NII書誌ID
- AA10826272
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- ISSN
- 17451361
- 09168532
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可
