摘要
针对云服务环境下的云服务商和客户之间缺乏信任建立和评估手段的问题,提出了一种基于客户评价的信任模型CETrust。该模型首先应用基于粗糙集理论的属性约简算法精简评价数据,而后通过评价相似度的客户过滤算法提升计算精度。充分考虑客户的可信性,将总体评价与分项属性评价结合来计算评价信任度,最后综合第三方评估机构的认证结果得出综合信任度。实验仿真结果表明,与同类技术相比,该模型特点是在不损失信任度计算精确性的条件下减少了计算量,能够有效过滤各类恶意评价,得出真实反映云服务可信性的综合评估结果。
Since the lack of building trust and evaluating means between service provider and consumer in the environment of cloud service, a customer evaluation based trust model（ CETrust） was proposed. Firstly, an attribute reduction algorithm was put for-ward to reduce the evaluation data based on rough set. Secondly, the consumer filtration algorithm based on evaluation similarity was used to improve calculation accuracy. Then, with customer ′ s credibility fully considered, this model evaluated trust degree com-bined overall evaluation with sub- item attribute evaluation. Finally, the comprehensive trust degree was calculated through third par-ty ′ s appraisal and accreditation results. Compared with the existing models, the simulation result shows that the reduction algorithm maintains the accuracy of trust degree calculation. CETrust can filter malicious evaluation to get comprehensive evaluation results that reflects cloud service ′ s credibility.
出处
《电子技术应用》
北大核心
2016年第9期99-102,共4页
Application of Electronic Technique
基金
国家自然科学基金(61402530)
陕西省自然科学基金资助项目(2014JQ8301)
关键词
云服务
信任模型
评价过滤
属性约简
cloud service
trust model
evaluation filtration
attributes reduction
