协同商务环境中的主观信任模型研究

Subjective trust model for collaborative commerce environment

针对开放网络环境中协同商务的动态、多域、异构等特点,提出了适用于开放式协作环境的基于云模型的主观信任评价方法,给出了基于云模型的信任更新算法。通过源实体与恶意推荐实体交互的仿真实验证明,应用该算法不仅可以有效抑制恶意实体的推荐行为,还可以激发实体的积极推荐。

Aiming to the collaborative commerce characteristics of dynamics, multi-domain and heterogeneity in open network environment, a cloud-model-based subjective trust quantification method for collaborative commerce environment was proposed. Then, a cloud-model-based trust updating algorithm was presented. Furthermore, a test in simulation environment validated the malicious recommendation effectively algorithm, which demonstrated that the cloud-model-based method could resist while activate positive recommendation.