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A social network-based trust-aware propagation model for P2P systems

机译:P2P系统的基于社交网络的信任感知传播模型

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摘要

Trust is an important mechanism to promote cooperation among persons in social network. As a security mechanism, it is widely implemented computer networks. In P2P applications, trust among cooperating peers is an essential precondition. It is becoming increasing vital in open, distributed, dynamic and anonymous networks to protect against malicious peers. This paper proposed a trust-aware propagation model based on the social network and with the basis of analyzing aware-computing to attempt to discover the propagation characteristics and regularity of trust being as network stability factor, and to reveal the functional mechanism of trust in the network security, which can improve the stability and robustness of the network. Firstly, we proposed a trust-aware propagation framework that contains three layers: propagation layer, aware layer, and computation layer. And then, the trust-aware propagation algorithm is presented to implement the formation of trust networks as fast as in P2P. A fitness function for peers computes their fitness degree based on contextual information to provide an initial entity identification mechanism, and the process of trust-aware propagation based on Markov process is defined to apperceive of trust among peers to ulteriorly form trust alliance. Thirdly, we built the dynamics model of trust propagation in order to deeply analyze the stability of trust networks. Next, three propagation strategies is proposed for implementing trust propagation. Finally, simulation experiments are carried in the bio-network platform. The results show that the trust-aware propagation model can effectively enhance the security and stability of P2P network, and improve the availability of the peer's resources.
机译:信任是促进社交网络中人与人之间合作的重要机制。作为一种安全机制,它是广泛实施的计算机网络。在P2P应用程序中,合作对等方之间的信任是必不可少的前提。在开放,分布式,动态和匿名网络中,防止恶意对等网络变得越来越重要。本文提出了一种基于社交网络的信任感知传播模型,在分析认知计算的基础上,试图发现信任的传播特性和规律性作为网络稳定因子,揭示信任的作用机制。网络安全性,可以提高网络的稳定性和鲁棒性。首先,我们提出了一个信任感知的传播框架,该框架包含三层:传播层,感知层和计算层。然后,提出了一种基于信任的传播算法,以实现与P2P一样快的信任网络的形成。对等体的适应度函数根据上下文信息计算其适应度,以提供初始的实体识别机制,并定义基于马尔可夫过程的信任感知传播过程,以感知对等体之间的信任,从而形成信任联盟。第三,建立信任传播的动力学模型,以深入分析信任网络的稳定性。接下来,提出了三种传播策略来实现信任传播。最后,在生物网络平台上进行了仿真实验。结果表明,信任感知传播模型可以有效地增强P2P网络的安全性和稳定性,并提高对等资源的可用性。

著录项

  • 来源
    《Knowledge-Based Systems》 |2013年第3期|8-15|共8页
  • 作者单位

    School of Management Science and Engineering. Shandong Normal University, Ji'nan 250014, China,Glorious Sun School of Business and Management, Donghua University, Shanghai 201620, China;

    School of Management Science and Engineering. Shandong Normal University, Ji'nan 250014, China;

    School of Information Science and Technology, Donghua University, Shanghai 201620, China;

    The University of California at Davis, One Shields Ave., Davis, CA 95616, United States;

    School of Management Science and Engineering. Shandong Normal University, Ji'nan 250014, China;

    School of Management Science and Engineering. Shandong Normal University, Ji'nan 250014, China;

    Glorious Sun School of Business and Management, Donghua University, Shanghai 201620, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    trust; P2P network; trust propagation; markov process; social network;

    机译:信任;P2P网络;信任传播;马可夫过程社交网络;

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