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Trusted information exchange in peer-to-peer mobile social networks

机译:对等移动社交网络中的可信信息交换

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Social networks have recently been gaining popularity. In a peer-to-peer mobile social network (MSN), users with similar interests establish groups or communities and share information without relying on a centralized infrastructure. Users socially interact with each other using handheld mobile devices and membership in a group/community of MSNs is granted by a pre-existing group member. However, it is possible that a group of malicious users can collude to promote another untrustworthy user in becoming a group member. Moreover, revoking membership without the existence of a central authority in a group is also a grant challenge. To address these problems in peer-to-peer MSNs, we propose a decentralized framework and the related algorithms for trusted information exchange and social interaction among users based on the dynamicity aware graph relabeling system. In contrast to the existing implementations of social networks based on a client/server paradigm, the proposed framework utilizes a lightweight trust model for identifying trustworthy users and aims at creating communities of trusted users while isolating and reducing interactions with untrustworthy users. Simulation results demonstrated the effectiveness of the proposed framework compared with the traditional dynamicity aware graph relabeling system algorithm.
机译:社交网络最近越来越流行。在对等移动社交网络(MSN)中,兴趣相似的用户可以建立组或社区并共享信息,而无需依赖集中式基础结构。用户使用手持移动设备彼此进行社交互动,并且MSN的组/社区中的成员资格由预先存在的组成员授予。但是,一群恶意用户可能会串通以提升另一个不可信用户成为组成员。此外,在组中不存在中央机构的情况下撤销成员资格也是一个挑战。为了解决点对点MSN中的这些问题,我们提出了一个基于动态感知图重新标记系统的分散框架和相关算法,以实现用户之间的可信信息交换和社交互动。与基于客户端/服务器范式的社交网络的现有实现方式相比,所提出的框架利用轻量级的信任模型来标识可信任的用户,并旨在创建可信任的用户社区,同时隔离和减少与不可信任的用户的交互。仿真结果表明,与传统的动态感知图重标记系统算法相比,该框架的有效性。

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