基于位置服务的移动社交网络中用户分享携带位置和好友标签的信息，不仅会 影响用户位置隐私也会泄漏好友的位置信息，从而导致基于协同定位信息攻击的位置隐 私泄露问题． 为此，文中提出了一种防御协同定位信息攻击的位置隐私保护方法，设计了 基于用户与好友线上交互的关系强度计算方法，给出了关系强度与位置隐私保护需求的 关联和量化方法，实现了一种基于协同定位信息隐藏和时间调整( CCTA) 的位置隐私保 护算法． 在推特数据集上的实验结果表明，文中方法能满足用户位置隐私保护需求，且保 护效果最佳． 

 Information with location tags and friends labels shared by users in location-based mobile social networks，can reveal not only the user’s location but also the friend’s location，and thus lead to the location privacy loss problem based on the colocation information attack． In order to prevent the colocation privacy attack，a location privacy protection method was proposed． A relation strength calculation algorithm based on the online interaction between users and friends was designed，a mapping and quantitative method for the location privacy protection requirement was put forward，and an algorithm based on colocation information concealment and time adjustment called CCTA was explored． Experimental results on the twitter data set indicate that the proposed method has better performance and could be suitable for colocation privacy protection．