【摘要】 近邻移动社交网络应用中好友发现过程是建立社交网络应用的最为重要的基础,高效安全的好友发现方法对于推动近邻移动社交网络的应用具有重要意义.现有的分布式的好友发现方法大部分只是简单地建立用户属性文件,在隐私保护前提下通过用户相似度的计算找到好友,这些方法存在一定的局限性,不能满足用户在不同情境下好友发现需求的改变.提出一种基于隐私保护的动态好友发现方法,首先动态建立用户属性文件,然后使用提前过滤协议方式,排除明显不满足用户需求的候选用户,并进一步提升系统的计算性能,最后使用相关系数法和帕耶加密方法实现好友发现.仿真实验表明,这种动态好友发现方法在好友发现的精确性和计算开支方面都优于现有方法.更多还原

【Abstract】 Friend discovery process is the most important basis on building social networking applications for proximity-based mobile social networking,Efficient and secure friend discovery method for promoting the application of mobile social network is significance,Existing distributed friend discovery methods most simply create a user properties file,and find the friend by calculating the user similarity under the premise of privacy,These methods have some limitations,can not meet the users changes of friend discover demand in different contexts,This paper presents a dynamic friend discovery method based on privacy,First,establish a dynamic user properties file,Second,use the advance filtration protocol,exclude obvious candidate does not meet the user needs,and to further enhance the computing performance of the system,Finally,employ the correlation coefficient and Payer encryption methods to achieve friend found,Extensive experiments results showthat,this dynamic friend discovery method is superior to existing methods both in spending accuracy and computational expense.更多还原