林驰

个人信息Personal Information

副教授

博士生导师

硕士生导师

任职 : 档案馆、校史馆副馆长(挂职)

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:软件学院、国际信息与软件学院

学科:软件工程. 计算机应用技术

联系方式:0411-62274417

电子邮箱:c.lin@dlut.edu.cn

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A Clustering K-Anonymity Scheme for Location Privacy Preservation

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论文类型:期刊论文

发表时间:2012-01-01

发表刊物:IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

收录刊物:SCIE、EI、Scopus

卷号:E95D

期号:1

页面范围:134-142

ISSN号:0916-8532

关键字:K-anonymity; spatial-temporal constraints; location-based services; location privacy; clustering

摘要: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).