摘要
通过多层分组策略,利用组中信任度、全局信任度和个人评价制度,提出基于全局信任度模型的新算法。对于对等节点的每一次P2P连接,算法会在交互前对每个可能交互的信任度进行合理评价,使节点事先得知交互的信任度参考值,可以由此采取相应策略提高交互安全性。经过算法分析和仿真测试表明,该模型的全局信任度具有迭代收敛性,对交互的信任度评价可信度高,对P2P安全性上存在的问题具有较大的改进。
Through multilayer grouping strategy, using group trust degree, global trust degree and individual evaluation system, a new algorithm based on global trust degree model was put forward. To every P2P interaction, the algorithm evaluated the trust degrees of every possible interaction reasonably in order to make interacting nodes to know the referenced trust degree value in advance so as to take corresponding policy to protect them. Mathematic analyses and simulations results show that the proposed algorithm has convergence characteristic, high reliability on interacting trust degree evaluation, and has better improvement on existed P2P security problems.
出处
《通信学报》
EI
CSCD
北大核心
2007年第9期133-140,共8页
Journal on Communications
基金
国家自然科学基金资助项目(60572131)
江苏省科攻关基金资助项目(BE2007058)
中兴通讯基金资助项目(200416)
华为技术有限公司基金资助项目(2006017)
南京邮电大学攀登计划基金资助项目(NY206008)~~
关键词
信任模型
对等网络
多层分组
全局信任度
trust model
peer-to-peer network
multilayer grouping
global reliability
