DrTrust: 一种非结构化P2P网络信任模型

P2P网络的动态性、匿名性和自治性带来许多安全问题，传统的结构化的P2P信任模型并不能很好的适应对等网络环境。提出了一种应用于非结构化P2P网络中的信任模型——DrTrust。该模型充分利用直接信任值和推荐信任值相结合方式的优点，实现了精确计算信任值，并采用分布式存储方式和激励、惩罚机制分别存储和更新信任值。仿真结果表明，DrTrust在准确计算节点信任值和抑制恶意节点行为等问题上较已有的信任模型有一定的改进。

DrTrust:A trust model in unstructured P2P network

The dynamics, autonomy and anonymity of the P2P network cause many security problems. The traditional trust model in structured P2P network can not satisfy the P2P environment commendably. In this paper, a trust model named DrTrust in unstructured P2P network was proposed, which was based on direct and recommended trust scheme. It takes advantage of the combination of the direct trust and recommended trust to calculate the trust accurately, using distributed way to store trust value and incentive and punishment mechanism to update trust value. The experimental results prove that DrTrust outperforms the current trust models in accurate trust computation and the inhibition to the malicious peers.