P2P中基于云模型和灰色系统理论的信任机制研究

针对P2P网络信任机制中没有全面考虑信任的模糊性和随机性问题，将云模型引入到信任机制中。利用灰色预测理论，对节点的行为进行预测，根据云模型的特征参数从节点的信任值平均水平和离散水平两个方面考虑一个节点是否值得信任。实验仿真表明，该机制可以有效识别出网络中行为不稳定的恶意节点，并通过降低其信任值的方法减少其参与网络交易的机会，提高了系统的交易成功率，保证了网络的安全性。...

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Bibliographic Details
Published in计算机应用研究 Vol. 33; no. 1; pp. 276 - 280
Main Author 杨本臣 王翠琴
Format Journal Article
LanguageChinese
Published 辽宁工程技术大学电气与控制工程学院,辽宁 葫芦岛,125105%辽宁工程技术大学研究生学院,辽宁 葫芦岛,125105 2016
Subjects
云模型
信任机制
对等网络
灰色预测
灰色预测
grey prediction
信任机制
trust mechanism
对等网络
cloud model
云模型
peer-to-peer
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Summary:针对P2P网络信任机制中没有全面考虑信任的模糊性和随机性问题，将云模型引入到信任机制中。利用灰色预测理论，对节点的行为进行预测，根据云模型的特征参数从节点的信任值平均水平和离散水平两个方面考虑一个节点是否值得信任。实验仿真表明，该机制可以有效识别出网络中行为不稳定的恶意节点，并通过降低其信任值的方法减少其参与网络交易的机会，提高了系统的交易成功率，保证了网络的安全性。
Bibliography:51-1196/TP
peer-to-peer; grey prediction; cloud model; trust mechanism
For the problem of some trust mechanisms in P2P network don ＇ t take fuzziness and randomness into consideration comprehensively, this paper proposed the cloud model into trust mechanism. It predicted the behavior of nodes according to the gray system theory, and determined whether the node was trustworthy from the characteristic parameters of cloud model, inclu- ding the value of the average level of trust and discrete level. The simulation results show that the mechanism can effectively identify malicious nodes which behavior are unstable and reduce their chances of participating in the network by cutting the its trust value, reaching the goal of improving the trading success rate of the system, and ensuring the security of the network.
Yang Benchen, Wang Cuiqin （a. Faculty of Electrical ＆ Control Engineering, b. Graduate College, Liaoning Technical University, Liaoning Huludao 125105, China ）
ISSN:1001-3695
DOI:10.3969/j.issn.1001-3695.2016.01.064