摘要
针对移动对等网络中终端稳定性差、动态性高的特点,提出了一种基于动态角色属性的MP2P信任模型。该信任模型引入了交易稳定因子和时间经验值,根据不同时刻的节点时间经验值以及贡献值,动态地赋予网络节点不同的角色,并根据角色的重要性决定计算信任值时的权重和资源下载量。仿真证实,该模型能抑制不稳定节点的影响,提高稳定节点的作用,减少"搭便车"行为以及伪善节点的影响,提高交易成功率。
Aiming at the poor stability and high dynamic characteristics of terminals in MP2P network,we proposed a dynamic role property based trust model for MP2P networks. This trust model introduces a trade stable factor and time experience value, and the model distributes different roles to nodes dynamically based on nodes＇ time experience value and its contribution in different time. The more important the role is,the more weight it has when calculating trust value. The more important the role is, the larger upper limit will be allowed when downloading resource. Simulation proves that this model can prevent effects from unstable nodes, improve stable nodes functions, reduce effects from ＂free rides＂ and hypocritical nodes,and improve trade success rate.
出处
《计算机科学》
CSCD
北大核心
2015年第8期106-111,共6页
Computer Science
基金
国家自然科学基金(61202353)
国家重点基础研究发展计划(973)(2011CB302903)
江苏高校优势学科建设工程资助项目(yx002001)资助
关键词
移动对等网
信任模型
动态角色
时间经验
Mobile peer-to-peer networks, Trust model, Dynamic role, Time experience
