针对信任管理有效防御模型共谋攻击的问题,提出了一种动态自适应的信任反馈聚合方法.通过引入二分网络投影对反馈聚合问题进行了合理转换,并根据反馈数据的集中程度自行调整参数,在无须人工干预的前提下,实现对信任反馈信息的过滤.仿真实验表明,该方法增强了信任管理模型对于共谋攻击的抵御能力,保证了模型在信任聚合阶段的鲁棒性.%Aiming at the lack of existing trust management model in resisting the collusion-attacks, this paper designed a dynamic adaptive trust aggregation method. According to the degree of concentration of the data, after problem-transformation with bipartite network projection, this method could automatically adjust the parameters and filter the data carrying trust feedback. The simulation results show that this method enhances the trust management model for the resilience of the collusion attack, to ensure the robustness of the model in the trust aggregation stage.
展开▼
