CAJ | 학술논문

在网格环境中,针对不同上下文环境下实体之间的交互行为,提出了一种新的基于分类的行为信任模型.模型根据信任等级对实体进行相应分类,在此基础上与实际社会相结合引入了交互事件重要性因子,惩罚因子,惩罚加速因子等,实现了实体动态的主体特征.分析和仿真表明,模型在性能上得到了一定程度的提高,并对恶意实体的恶意交互行为起到了一定的抑制作用.
재망격배경중,침대불동상하문배경하실체지간적교호행위,제출료일충신적기우분류적행위신임모형.모형근거신임등급대실체진행상응분류,재차기출상여실제사회상결합인입료교호사건중요성인자,징벌인자,징벌가속인자등,실현료실체동태적주체특정.분석화방진표명,모형재성능상득도료일정정도적제고,병대악의실체적악의교호행위기도료일정적억제작용.
A new behavior trust model based on classification is proposed to deal with the entity interactive behavior of different context in grid environment. The model classifies the entities according to the entity trust rank defined by entity trust value, then paper introduces the interactive event importance factor, the penalty factor, the penalty acceleration factor and so on by associating the model with actual society, that realizes the autonomous characteristic of dynamic entity. The analysis and the simulation indicates that the model has a certain extent enhancement in the performance, and plays a certain inhibitory action to the malicious entity's malicious interactive behaviors.