Trust Assessment in Online Social Networks
Trust Assessment in Online Social Networks
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DOI：
10.1109/tdsc.2019.2916366
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发表时间：
2021-03-01
影响因子：
7.3
通讯作者：
Liu, Alex X.
中科院分区：
文献类型：
--
作者：
Liu, Guangchi;Yang, Qing;Liu, Alex X.
评估在线社交网络（OSNs）的信任对于在线营销和网络安全等许多应用至关重要。然而，由于难以处理复杂的社会网络拓扑并在这些拓扑中进行准确的评估，这是一个具有挑战性的问题。为了解决这些挑战，我们通过提出三值主观逻辑（3VSL）模型来建立信任模型。3VSL适当地建模了信任中存在的不确定性，从而能够在任意图中计算信任。从理论上证明了基于Dirichlet-Categorical （DC）分布的3VSL的性能及其在任意OSN拓扑中的正确性。在3VSL模型的基础上，我们进一步设计了assestrust （AT）算法来精确计算OSN中连接的任意两个用户之间的信任。我们针对两个现实世界的OSN数据集验证3VSL: Advogato和Pretty Good Privacy （PGP）。实验结果表明，3VSL可以准确地模拟adogato和PGP中任意对间接连接的用户之间的信任。
Assessing trust in online social networks (OSNs) is critical for many applications such as online marketing and network security. It is a challenging problem, however, due to the difficulties of handling complex social network topologies and conducting accurate assessment in these topologies. To address these challenges, we model trust by proposing the three-valued subjective logic (3VSL) model. 3VSL properly models the uncertainties that exist in trust, thus is able to compute trust in arbitrary graphs. We theoretically prove the capability of 3VSL based on the Dirichlet-Categorical (DC) distribution and its correctness in arbitrary OSN topologies. Based on the 3VSL model, we further design the AssessTrust (AT) algorithm to accurately compute the trust between any two users connected in an OSN. We validate 3VSL against two real-world OSN datasets: Advogato and Pretty Good Privacy (PGP). Experimental results indicate that 3VSL can accurately model the trust between any pair of indirectly connected users in the Advogato and PGP.