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首页> 外文期刊>International Journal of Computer Trends and Technology >Secure Storage of Profile Matching of Distributed-Based Mobile Social Networks
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Secure Storage of Profile Matching of Distributed-Based Mobile Social Networks

机译:基于分布式移动社交网络的配置文件匹配的安全存储

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The Profile identical means two users comparing their individual profile and is frequently the first step towards effectual PMSN. It, however, conflicts with the users’ growing isolation concerns about disclosing their individual profiles to complete strangers before deciding to relate with them Our protocols make possible two users to carry out outline similar without disclosing any data about their accounts/profiles ahead of the judgment result. Making new associations according to personal preference is a essential service in mobile social networking, where an initiate user can find matching users within physical propinquity of him/her. In an existing systems for those services, frequently all the clients directly publish their full profiles for remaining of them to search. Though, in much submission, the users’ personal outline may contain sensitive in order that those do not want to create it open thing. In this paper, we explored a set of privacypreserving profile identical themes for mobile social networks which are based on proximity. In an initiate client can discover from a set of clients the one whose profile/account greatest counterpart with her / his; to restrict the danger of secure disclosure, only required and least information about the confidential characteristic of the partake users is exchanged. Two the increasing levels of user solitude are distinct, with falling amounts of exposed profile/account data. Leveraging secured/protected multiparty computation (SMC) method we propose novel modus operandi that understand each of the client privacy levels, which can also be adapted by the users. We bring in formal security proofs and presentation evaluation on our system, and show their compensation in both security and good organization over stateoftheart methods. The social familiarity between two clients/users as the identical metric, which can measure the distance between their social coordinate with each being a vector pre calculated by a central server which is trusted to stand for the location of a client in an online social network. By judgment, our work does not rely on the link of PMSN clients with a one social network in online and talk to a more general classified identical crisis for PMSN by helping finegrained private profiles/account and a huge spectrum of corresponding metrics.
机译:配置文件相同意味着两个用户比较他们的个人配置文件,并且通常是迈向有效PMSN的第一步。但是,这与用户日益孤立的担忧相冲突,因为他们担心在决定与他们联系之前向完整的陌生人披露他们的个人资料。我们的协议使两名用户可以执行类似的大纲,而无需在判断之前披露其帐户/个人资料的任何数据结果。根据个人喜好建立新的关联是移动社交网络中的一项基本服务,在该社交网络中,初始用户可以在他/她的身体附近找到匹配的用户。在用于那些服务的现有系统中,经常所有客户端都直接发布其完整配置文件,以供其余用户搜索。不过,在许多提交中,用户的个人轮廓可能包含敏感内容,以使那些不想创建开放内容的人。在本文中,我们探索了一组基于移动性的隐私保护配置文件相同主题,用于移动社交网络。在发起客户中,客户可以从一组客户中发现其个人资料/帐户与自己最相像的客户;为了限制安全披露的危险,仅交换有关partake用户的机密特征的必需信息,最少交换信息。用户独处的两个增加的级别是明显的,暴露的个人资料/帐户数据的数量正在下降。利用安全/受保护的多方计算(SMC)方法,我们提出了新颖的操作方法,可以理解每个客户端隐私级别,用户也可以对其进行调整。我们在系统上引入了正式的安全证明和演示评估,并通过最先进的方法显示了它们在安全性和良好组织方面的补偿。两个客户/用户之间的社交熟悉度是相同的度量标准,它可以测量他们的社交坐标之间的距离,每个社交坐标都是由中央服务器预先计算出的向量,该中央服务器被信任代表在线社交网络中客户的位置。通过判断,我们的工作不依赖于PMSN客户与在线一个社交网络的链接,而是通过帮助细粒度的个人资料/帐户以及大量的相应指标来与更一般的PMSN分类危机进行对话。

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