CAJ | 학술논문

为解决分布式网络中节点经验差异导致的信任评价不准确的问题,提出了一种基于经验的信任模型.通过对最大容忍误差的动态调整,以及根据经验的不同对信任值的动态更新,使得新模型具有较好的适应能力,体现了节点的个性化.仿真实验表明,新模型能较好地抵制恶意欺骗行为,信任评价准确性较高.
위해결분포식망락중절점경험차이도치적신임평개불준학적문제,제출료일충기우경험적신임모형.통과대최대용인오차적동태조정,이급근거경험적불동대신임치적동태경신,사득신모형구유교호적괄응능력,체현료절점적개성화.방진실험표명,신모형능교호지저제악의기편행위,신임평개준학성교고.
In order to eliminate the infection resulted from the trust evaluation difference of individual nodes, this paper put forward a multi-granularity trust model based on individual experience. In this model, employed experience factor and multi trust information recording methods. Experiment and analysis show that the proposed model has better improvement in granularity and veracity of trust evaluation.