Abstract: Aiming at the problem of absence privacy protection in mobile social networks,parameter model of privacy preservation is designed to realize the personalized privacy protection parameter setting,the necessary conditions of privacy protection are proposed,and the generalization method is used to achieve the effect of absence privacy protection. Experimental results show that compared with the WYSE ,this algorithm has lower release delay under the condition of the equivalence computation time.

Key words: mobile social network, absence privacy, privacy protection, user-defined, real-time publication

摘要： 针对移动社交网络中的缺席隐私保护问题,建立用户自定义隐私保护参数模型。设计用户个性化设置隐 私参数的方法,给出运动情况下缺席隐私保护的必要条件,并采用泛化方法实现缺席隐私保护及资源的实时发布。 在人造数据集上与WYSE算法进行对比,实验结果表明,在计算时间相当的情况下,该算法的发布延时较少。

关键词: 移动社交网络, 缺席隐私, 隐私保护, 用户自定义, 实时发布

CLC Number: 

• TP393.08