摘要
在叠加网应用中,因为网络的开放性及匿名性,节点的具体行为不可知,恶意节点以及Free Rider的存在会对网络造成较大的影响,需要引入信任模型对网络加以保护。提出了基于信任推荐及群组投票的全局信任模型RGVTrust来对网络中各节点的可信程度加以建模量化,以准确区分各类节点。仿真结果显示,该模型在收敛速度及服务成功率上表现优异,并具有高的协同作弊免疫力。
Due to the anonymous and open nature of the overlay network and peers＇ uncertain behaviors, those overlaybased applications have to face the impact brought in by malicious peers and free riders. A trust model should be introduced to protect the overlay. A global trust model, RGVTrust, based on recommendation and trust voting, to model the trustworthiness of all peers and distinguish peers with different behaviors was proposed. As the computer simulation shows, RGVTrust converges quickly and shows good performance on providing successful service, and has high cooperative cheating resistance.
出处
《计算机应用》
CSCD
北大核心
2008年第9期2259-2262,2266,共5页
journal of Computer Applications
关键词
叠加网
信任模型
推荐
投票
收敛
协同作弊
overlay
trust model
recommendation
voting
converge
cooperative cheating
