一种新型P2P网络信任模型研究

Research on a Novel Trust Peer-to-Peer Network Model

本文提出了一种新的P2P网络信任模型——层次化分布域信任模型HDRTM。该模型基于历史交互信息和信誉推荐,采用量化方法和合成规则方法得到的信任度对P2P网络中的节点信任进行评估,同时引入了惩罚调节因子、合成规则权重因子等加强了信任度的可靠性与真实性。对HDRTM的仿真证明能够有效抵制恶意节点,具有较好的安全性与信任性。

This paper proposes a new trust model-Hierarchical and Distributed Region-based Trust Model-HDRTM. This model is based on the historical interactive information and credibility recommended, and uses the methods of measurement and the combination rule to assess the trust of the peers.Meanwhile,thereliability and authenticity are enhanced via introducing the regulatory punishment factors and the weighting factors of the synthesis rule.Systems simulation indicates that HDRTM is able to resist malicious peers effectively and has goodsecurity and trust.