一种多参量评估的云计算信任模型

计算机科学 ›› 2015, Vol. 42 ›› Issue (Z6): 315-320.

一种多参量评估的云计算信任模型

王君,刘文芬,郜燕

信息工程大学郑州450001信息工程大学数学工程与先进计算国家重点实验室郑州450001,信息工程大学郑州450001信息工程大学数学工程与先进计算国家重点实验室郑州450001,信息工程大学郑州450001信息工程大学数学工程与先进计算国家重点实验室郑州450001

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家973计划项目子课题(2012CB315905):可重构基础网络的安全和管控机理与结构资助

Trust Model of Cloud Computing Based on Multi-parameters Evaluation

WANG Jun, LIU Wen-fen and GAO Yan

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 针对云计算环境下服务商的信任问题,提出了一种新的云计算信任模型。模型旨在帮助用户从大量云服务商中选择最安全的资源,信任评估考虑了云服务过程中资源的可用性、可靠性、数据完整性、诚信度和周转效率5个参量,5个参量利用主观评价和客观数据对服务商进行全面评估。模型还运用了贝叶斯统计、时间衰减函数等方法对海量数据进行动态分析,使得统计结果可以及时地反映服务质量。由于不同用户对每个参量的倚重程度不同,因此结合层次分析法中权重向量的构造方法对各信任分量的权值进行分配,以满足个体用户的特殊需求。仿真实验进一步验证了该模型能够抵御较复杂的策略攻击并且具有一定的实用性。

Abstract: A novel trust model was put forward to solve the trust problem of cloud resource providers.In order to help users select the safest resource in a large number of providers,trust evaluation considered five parameters in cloud service process:availability,reliability,data integrity,honesty and turnaround efficiency.These parameters make a comprehensive assessment on the resource providers with subjective evaluation and objective data.The model achieves dynamic analysis of massive data by using some methods,such as Bayesian statistics and time attenuation function,and the statistical result can reflect the quality of service in time.Due to the different degree of users relying on each parameter,the model distributes the weight value of trust factor combining the way of constructing weight vector in analytic hierarchy process(AHP) to meet the special need of individual users.The result of simulation experiment verifies the model can resist strategic attack with certain practicality.

Key words: Cloud computing,Trust evaluation,Selection of resource provider

王君,刘文芬,郜燕. 一种多参量评估的云计算信任模型[J]. 计算机科学, 2015, 42(Z6): 315-320. https://doi.org/

WANG Jun, LIU Wen-fen and GAO Yan. Trust Model of Cloud Computing Based on Multi-parameters Evaluation[J]. Computer Science, 2015, 42(Z6): 315-320. https://doi.org/

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