Abstract:
In order to improve the reliability of reputation evaluation,from the perspective of improving the timeliness
of reputation evaluation,a general reputation revaluation model named GMRR based on time-lag weakening strategy is proposed. The feature of GMRR is that on the basis of four kinds of basic data such as raw reputation,reputation history, reputation fluctuation rate and reputation fluctuation trend,the new model can revaluate the raw reputation dependably from multiple dimensions by the integration of timeliness mechanism with the existing dependable reputation evaluation mechanisms. After the time-lag weakening strategy for reputation timeliness mechanism and GMRR model description and related algorithms are given,the reputation revaluation effect of new model is evaluated. Experimental results show that, compared with the Srivatsa reputation revaluation model,GMRR can make the revaluation reputation more closer to the real behavior of the target entity,and has better inhibitory effect on any fluctuation behavior of malicious entity.
Key words:
reputation revaluation,
strategy behavior,
timeliness mechanism,
reputation fluctuation trend,
behavioral
approach,
malicious behavior inhibitory
摘要： 为提高信度评估的可靠性,从改善信度评估时效性角度出发,提出一种改进的通用信度重估模型GMRR。该模型借助原始信度、历史信度、信度波动率和信度波动趋势4 种基础数据,实现了信度评估时效性机制与现有信度重估机制的有效集成,从多个维度对原始信度展开重估。给出信度评估时效性机制采用的时滞弱化策略、GMRR 模型描述及分量计算算法,对模型的信度重估效果进行实验评估,结果表明,与现有信度重估模型相比,该
模型获得的重估信度接近于目标实体的真实行为,同时能抑制恶意实体的策略波动行为。
关键词:
信度重估,
策略行为,
时效性机制,
信度波动趋势,
行为逼近,
恶意行为抑制
CLC Number: