基于时间序列的P2P网络综合信任模型研究

发布时间：2018-03-18 11:33

本文选题：PP网络　切入点：综合信任模型　出处：《计算机工程与应用》2017年15期 　论文类型：期刊论文

【摘要】：P2P网络具有动态性,自组织和匿名性等特点,从而导致网络中某些节点存在恶意行为,为了保证节点能提供可靠资源和良好服务,提出一种基于时间序列的P2P综合信任模型,使对等节点之间建立信任关系。该模型在计算直接信任度和间接信任度时引入时间衰减函数,近期的信任值衰减小,对整体信任度的影响大。通过反馈控制机制动态更新簇内节点和簇头节点的信任度,使整体信任值具有时效性,对节点信任度的评价更精确和更可靠。实验证明,该信任模型较Dy Trust模型降低了节点之间的交互时延,稳定性和动态自适应性更好,检测恶意节点的能力更强,提高P2P网络的可信度,对P2P网络的安全提供有力保障。
[Abstract]:P2P network has the characteristics of dynamic, self-organization and anonymity, which leads to malicious behavior of some nodes in the network. In order to ensure that the node can provide reliable resources and good service, a P2P comprehensive trust model based on time series is proposed. The time attenuation function is introduced to calculate the direct and indirect trust, and the recent trust attenuation is small, which makes the trust relationship between the peer node and the peer node establish a trust relationship, this model introduces the time attenuation function when calculating the direct trust degree and the indirect trust degree. The feedback control mechanism is used to dynamically update the trust degree of the nodes in the cluster and the cluster head node, so that the overall trust value is time-efficient, and the evaluation of the trust degree of the node is more accurate and reliable. Compared with Dy Trust model, the trust model can reduce the interaction delay between nodes, improve the stability and dynamic adaptability, enhance the ability of detecting malicious nodes, improve the credibility of P2P networks, and provide a strong guarantee for the security of P2P networks.
【作者单位】：南华大学计算机科学与技术学院;
【基金】：湖南省教育厅科学研究重点项目(No.14A121)
【分类号】：TP393.0

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