Various solutions have been proposed to enable mobile users to access location-based services while preserving their location privacy. Some of these solutions are based on a centralized architecture with the participa...Various solutions have been proposed to enable mobile users to access location-based services while preserving their location privacy. Some of these solutions are based on a centralized architecture with the participation of a trustworthy third party, whereas some other approaches are based on a mobile peer-to-peer (P2P) architecture. The former approaches suffer from the scalability problem when networks grow large, while the latter have to endure either low anonymization success rates or high communication overheads. To address these issues, this paper deals with an enhanced dual-active spatial cloaking algorithm (EDA) for preserving location privacy in mobile P2P networks. The proposed EDA allows mobile users to collect and actively disseminate their location information to other users. Moreover, to deal with the challenging characteristics of mobile P2P networks, e.g., constrained network resources and user mobility, EDA enables users (1) to perform a negotiation process to minimize the number of duplicate locations to be shared so as to significantly reduce the communication overhead among users, (2) to predict user locations based on the latest available information so as to eliminate the inaccuracy problem introduced by using some out-of-date locations, and (3) to use a latest-record-highest-priority (LRHP) strategy to reduce the probability of broadcasting fewer useful locations. Extensive simulations are conducted for a range of P2P network scenarios to evaluate the performance of EDA in comparison with the existing solutions. Experimental results demonstrate that the proposed EDA can improve the performance in terms of anonymity and service time with minimized communication overhead.展开更多
传统的基于位置信息的服务(LBS)的隐私保护需要LBS提供者(简称LSP)与用户之间通过第三方作为中介来进行信息交换,但这种模式极易遭到攻击者攻击。为此提出一种基于K-匿名机制的隐形空间算法KABSCA(k-anonymity based spatial cloaking a...传统的基于位置信息的服务(LBS)的隐私保护需要LBS提供者(简称LSP)与用户之间通过第三方作为中介来进行信息交换,但这种模式极易遭到攻击者攻击。为此提出一种基于K-匿名机制的隐形空间算法KABSCA(k-anonymity based spatial cloaking algorithm),通过移动设备独立建立一个分布式网络直接与LSP通讯进而避免了第三方的安全威胁。仿真实验显示:使用这种算法,用户可以享受到高质量的信息服务以及高度的隐私保护。展开更多
基金Project (No. MOE-INTEL-11-06) supported by the MOE-Intel IT Research Fund of China
文摘Various solutions have been proposed to enable mobile users to access location-based services while preserving their location privacy. Some of these solutions are based on a centralized architecture with the participation of a trustworthy third party, whereas some other approaches are based on a mobile peer-to-peer (P2P) architecture. The former approaches suffer from the scalability problem when networks grow large, while the latter have to endure either low anonymization success rates or high communication overheads. To address these issues, this paper deals with an enhanced dual-active spatial cloaking algorithm (EDA) for preserving location privacy in mobile P2P networks. The proposed EDA allows mobile users to collect and actively disseminate their location information to other users. Moreover, to deal with the challenging characteristics of mobile P2P networks, e.g., constrained network resources and user mobility, EDA enables users (1) to perform a negotiation process to minimize the number of duplicate locations to be shared so as to significantly reduce the communication overhead among users, (2) to predict user locations based on the latest available information so as to eliminate the inaccuracy problem introduced by using some out-of-date locations, and (3) to use a latest-record-highest-priority (LRHP) strategy to reduce the probability of broadcasting fewer useful locations. Extensive simulations are conducted for a range of P2P network scenarios to evaluate the performance of EDA in comparison with the existing solutions. Experimental results demonstrate that the proposed EDA can improve the performance in terms of anonymity and service time with minimized communication overhead.
文摘传统的基于位置信息的服务(LBS)的隐私保护需要LBS提供者(简称LSP)与用户之间通过第三方作为中介来进行信息交换,但这种模式极易遭到攻击者攻击。为此提出一种基于K-匿名机制的隐形空间算法KABSCA(k-anonymity based spatial cloaking algorithm),通过移动设备独立建立一个分布式网络直接与LSP通讯进而避免了第三方的安全威胁。仿真实验显示:使用这种算法,用户可以享受到高质量的信息服务以及高度的隐私保护。