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
Location Anonymity Based on Fake Queries in Continuous Location-based Services
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论文类型:会议论文
发表时间:2012-08-20
收录刊物:EI、CPCI-S、Scopus
页面范围:375-382
关键字:location based services; K-anonymity; continuous queries
摘要:The large-scale deployment of location-based services (LBSs) brings about the potential abuse of their clients' personal information. Therefore, location privacy in LBSs is significant. Ensuring location privacy for mobile users is an effort to prevent semi-honest or dishonest service providers from abusing the location information. Though there exist several techniques to preserve location privacy of mobile users, these techniques cannot effectively protect the location privacy in continuous location-based services. In this paper, we propose a location anonymity scheme based on the fake queries in continuous location-based services. To prevent attackers from tracing a mobile user by his continuous queries, some fake continuous queries will be injected by some neighbors. These fake queries can produce equivalent fake paths similar to the user's mobile path, because they are generated according to the user's speed and mobile direction. It is so difficult for the attackers to distinguish the real continuous queries from other fake queries. Security analysis shows that our scheme can resist the continuous queries attack, maximum speed attack and abnormal points attack. Experimental results manifest that our scheme can provide stringent privacy guarantees and is beyond the limitation of existing algorithms based on K-anonymity technique.