一种基于AIFS权重计算的信任模型的研究

Research on a Trust Model Based on AIFS Weighting

随着私有云和公共云的广泛使用,其安全性成为必须解决的首要问题。现有研究表明,安全问题与信任问题密不可分,选择可信的云服务提供商是行之有效的方法,而信任模型则是研究热点。文章利用信任度量模型与模糊集合理论来刻画相关的安全问题。考虑到AIFS模糊集合能较好地处理问题的模糊性与不确定性,文章提出一种基于AIFS最优权重计算的信任模型,该模型通过对服务指标向量进行最优权重方案选择,优化了用户对云服务提供商评价的权重,使得用户评价云服务提供商服务时结果更为客观。文章针对可信云服务提供商选择问题给出了仿真实验,实验结果表明文章方法具有较好的应用价值。

With the wide use of private and public clouds, their securities are primary issues that must be solved. Existing research shows that the safety problem is closely connected with mast problem. Selecting a credible cloud service provider is an effective way, and trust model is a hot research topic. Based on trust measurement model and the fuzzy set theory, this paper depicts the related security problems. Considering the AIFS can better deal with the problems of fuzziness and uncertainty, this paper proposes a mast model based on the AIFS optimal weighting. By selecting the optimal weight scheme of service index vectors, the model optimizes the user＇s evaluation weights to the cloud service provider, which makes the user＇s evaluation to the cloud service provider is more objective. The paper provides a simulation experiment to the selection of trusted cloud service providers. The experimental results show that this method has good application vatue.