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Exploring the trust management mechanism in self-organizing complex network based on game theory

机译:基于博弈论的自组织复杂网络探索信任管理机制

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摘要

The trust management mechanism can used to establish cooperation relationship between nodes and decrease risk caused by the information interaction. In this paper, we propose a new trust management mechanism based on game theory to model the acquisition of indirect trust information between nodes, and put forward the corresponding punishment mechanism to enhance the cooperative behaviors. Moreover, single stage and repeated game model are established respectively to study the evolutionary stable strategy with different parameters, which illustrate the evolutionary selection process of node's strategies in the indirect information assessment procedure. By the continuous adjustment of strategies, the whole network will converge to a stable state finally. The experiment results validate that the effectiveness and efficiency of the proposed model, which can promote the cooperate behavior with the neighbor nodes to obtain the maximum benefit when facing the indirect information assessment. Furthermore, the stability of the trust management system can also be evaluated and enhanced, which help us to design the effective trust management mechanism in the real world. (C) 2019 Elsevier B.V. All rights reserved.
机译:信任管理机制可以用于建立节点之间的合作关系,并降低信息交互造成的风险。在本文中,我们提出了一种基于博弈论的新的信任管理机制,以模拟节点之间的间接信任信息的收购,提出相应的惩罚机制来提升合作行为。此外,分别建立了单级和重复的游戏模型,以研究具有不同参数的进化稳定策略,从而说明节点在间接信息评估程序中的策略的进化选择过程。通过持续调整策略,整个网络最终将收敛到稳定状态。实验结果验证了所提出的模型的有效性和效率,可以促进与邻居节点的合作行为,以在面对间接信息评估时获得最大效益。此外,还可以评估和增强信任管理系统的稳定性,这有助于我们在现实世界中设计有效的信任管理机制。 (c)2019 Elsevier B.v.保留所有权利。

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