高级检索
    蔡红云 田俊峰 李 珍 何莉辉. 基于信任领域和评价可信度量的信任模型研究[J]. 计算机研究与发展, 2011, 48(11): 2131-2138.
    引用本文: 蔡红云 田俊峰 李 珍 何莉辉. 基于信任领域和评价可信度量的信任模型研究[J]. 计算机研究与发展, 2011, 48(11): 2131-2138.
    Cai Hongyun, Tian Junfeng, Li Zhen, and He Lihui. Trust Model Based on Trust Area and Evaluation Credibility[J]. Journal of Computer Research and Development, 2011, 48(11): 2131-2138.
    Citation: Cai Hongyun, Tian Junfeng, Li Zhen, and He Lihui. Trust Model Based on Trust Area and Evaluation Credibility[J]. Journal of Computer Research and Development, 2011, 48(11): 2131-2138.

    基于信任领域和评价可信度量的信任模型研究

    Trust Model Based on Trust Area and Evaluation Credibility

    • 摘要: 为了降低恶意评价对信任模型造成的影响,提出了一种适用于开放分布式网络环境下的基于信任领域和评价可信度量的信任模型(trust model based on the trust area and evaluation credibility, TMEC),并给出了模型流程及相关定义.TMEC模型中将节点的信誉值区分为节点的全局信誉值和反馈信誉值,并基于信任领域进行模型的构建;提出了基于节点评分行为相似性的共谋团体识别算法;提出了基于评价支持度和评价一致性因子确定节点反馈权重的方法,从而使所构建的信任模型更加可信和可靠.仿真实验表明,该模型能够有效地检测和抵制夸大、诋毁和共谋等恶意评价行为,具有良好的抗攻击性.

       

      Abstract: With the development of network technologies, such as P2P and grid, system environment becomes more open and the relationship of the entities is not so intense. Hence, trust model becomes focus of intense research. Trust model establishes a management framework of trust relationship between entities, but its open nature makes it easy to attack by every malicious evaluation. To minimize the influence of the malicious evaluation to the trust model, a novel trust model based on trust area and evaluation credibility is proposed, which is suit for the open distributed network environment. At the same time, the flow sheet of the model and the relevant definitions are given in the paper. The model is built based on the trust area, and the reputation value of a node is composed of the service credibility and feedback credibility. The distinguishing algorithm of the colluding clique is presented based on the similarity of peer’s evaluation. A new method on how to determine the feedback weight is proposed, which depends on the evaluation support and evaluation consistent factor. Simulation and analysis show that the proposed model can distinguish and resist the malicious evaluation effectively.

       

    /

    返回文章
    返回