云计算环境下基于用户行为的动态信任管理机制研究
发布时间：2019-02-28 14:27
【摘要】：随着云计算的迅速发展，越来越多的用户开始使用云计算平台的服务随着用户数据的逐渐增多，如何保证云计算平台资源能够安全高效的被用户所应用，也已经成为云计算平台安全研究方面的一个重要研究方向 针对上述问题，本文从信任管理的角度出发，提出一种基于用户行为的动态信任管理模型，并完成了该模型的原型系统实现首先，通过云计算平台的终端模板收集用户终端的行为数据然后，采用数据挖掘算法K-Prototype和KNN算法对用户行为数据的各个属性进行分析，得出不同的数据类别，并使用熵权法对于不同的数据属性进行权重赋值接下来，提出一种以用户数据属性为计算单位的信任算法，在算法中充分结合了用户历史信任数据和前面结合数据挖掘分析结果，计算出用户的信任值，度量用户使用云计算平台资源的可信程度最后，设计并实现了一个原型系统，该系统具体实现了信任模型，并通过输入用户行为数据计算用户最终的信任值 该动态信任管理机制结合信任模型中各个组件，综合用户实际行为数据以及用户历史信任评估，，对用户的可信程度进行度量由文中实验部分各种情况对比可得，该模型能够将实际情况中的变化具体反映到计算结果中，从而实现了用户信任的动态管理本文研究为云计算环境下的信任管理研究提供了一个参考，具有一定的理论意义和实际应用价值
[Abstract]:With the rapid development of cloud computing, more and more users begin to use the services of cloud computing platform with the gradual increase of user data, how to ensure that cloud computing platform resources can be safely and efficiently applied by users, It has also become an important research direction in the field of cloud computing platform security. From the point of view of trust management, this paper proposes a dynamic trust management model based on user behavior. The prototype system of the model is completed. Firstly, the behavior data of the user terminal is collected through the terminal template of the cloud computing platform. Then, the data mining algorithms K-Prototype and KNN are used to analyze the attributes of the user behavior data. Different data categories are obtained, and the entropy method is used to assign weights to different data attributes. Then, a trust algorithm based on user data attributes is proposed, which takes user data attributes as the unit of calculation, and then puts forward a trust algorithm with user data attributes as the unit of calculation. In the algorithm, the historical trust data of users and the analysis results of data mining are combined to calculate the trust value of users. Finally, a prototype system is designed and implemented to measure the reliability of users using cloud computing platform resources. The system implements the trust model in detail, and calculates the final trust value of the user by inputting user behavior data. The dynamic trust management mechanism combines each component of the trust model with the dynamic trust management mechanism. Based on the data of user's actual behavior and the evaluation of user's historical trust, the reliability of the user can be measured by the comparison of various situations in the experiment. The model can reflect the changes in the actual situation into the calculation results. Thus, the dynamic management of user trust is realized. This research provides a reference for the research of trust management in cloud computing environment, which has certain theoretical significance and practical application value.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09;TP311.13
本文编号：2431878
[Abstract]:With the rapid development of cloud computing, more and more users begin to use the services of cloud computing platform with the gradual increase of user data, how to ensure that cloud computing platform resources can be safely and efficiently applied by users, It has also become an important research direction in the field of cloud computing platform security. From the point of view of trust management, this paper proposes a dynamic trust management model based on user behavior. The prototype system of the model is completed. Firstly, the behavior data of the user terminal is collected through the terminal template of the cloud computing platform. Then, the data mining algorithms K-Prototype and KNN are used to analyze the attributes of the user behavior data. Different data categories are obtained, and the entropy method is used to assign weights to different data attributes. Then, a trust algorithm based on user data attributes is proposed, which takes user data attributes as the unit of calculation, and then puts forward a trust algorithm with user data attributes as the unit of calculation. In the algorithm, the historical trust data of users and the analysis results of data mining are combined to calculate the trust value of users. Finally, a prototype system is designed and implemented to measure the reliability of users using cloud computing platform resources. The system implements the trust model in detail, and calculates the final trust value of the user by inputting user behavior data. The dynamic trust management mechanism combines each component of the trust model with the dynamic trust management mechanism. Based on the data of user's actual behavior and the evaluation of user's historical trust, the reliability of the user can be measured by the comparison of various situations in the experiment. The model can reflect the changes in the actual situation into the calculation results. Thus, the dynamic management of user trust is realized. This research provides a reference for the research of trust management in cloud computing environment, which has certain theoretical significance and practical application value.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09;TP311.13
【参考文献】
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2 孙美凤,龚俭;KeyNote信任管理系统[J];计算机工程;2002年11期
本文编号：2431878
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