信任管理的信任量化表示与凭据公平交换研究
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摘要
在现实生活中,信任是人们之间从事交易活动时最基本的要求。在这种交易过程中,人们往往是面对面的进行,或者是基于曾经面对面交往的历史经验基础。随着计算机相关技术的快速发展和网络社区相关应用的日益普及,人们在网络虚拟社会中将不再“面对面”。因此,有必要在虚拟的网络社会建立一套安全可靠的信任机制,方便人们在网上进行交易等活动时快速确立相应的信任关系,满足网络应用对实体身份及其相关社会属性的信任管理需求。
为了对网络实体的信任关系进行有效管理,结合当前关于网络环境下信任关系的信任管理研究现状,本文将信任管理区分为基于信誉的主观信任管理和基于凭据的客观信任管理,针对用户信任属性的量化表示问题和用户信任凭据的公平交换问题,围绕信任属性区间软划分方法、多维属性信任管理模型以及信任凭据交换改进模型,从以下三个方面开展课题研究工作。
1)提出一种基于云理论定性概念的信任属性区间软划分方法。
针对用户信任属性的量化表示问题,区别于基于等距离区间法的信任区间硬划分方法,提出了一种基于云理论定性概念的信任区间软划分TRSDM方法,通过信任属性的采集数据从原子概念转换、定性概念提升和区间概念表形成这三个阶段,详细定义了TRSDM方法对信任属性区间软划分过程,达到信任属性的定量数值向信任关系的定性概念转换的目的,利用区间概念表实现基于云理论定性概念的信任属性区间软划分。通过仿真实验与结果分析可知,TRSDM方法有效地解决了关于采集数据分布特性、定性概念不确定性以及采集数据时效性的三个问题。
2)提出一种基于多维属性信任度概念表的信任模型。
继续针对用户信任属性的量化表示问题,区别于将多个维度信任度进行合并的表示方法,结合信任区间软划分TRSDM方法,提出了
一种基于多维属性信任度概念表的信任管理TCTTM模型,通过区间概念表形成、信任度概念形成与更新、隶属概念判定、信任等级评估,详细阐述了TCTTM模型对多维度信任属性联合表示处理过程,达到揭示这些信任属性间的内在关联性的目的,利用信任度概念表实现基于信任度概念的多维属性信任度表示。通过仿真实验与结果分析可知,TCTTM模型有效解决了如何使用多个定性概念进行针对实体网络行为的信任等级评估问题。
3)提出一种适用于信任管理的四步骤公平交换协议和凭据交换改进模型。
针对用户信任凭据的公平交换问题,首先论证“基于第三方的不可否认的公平交换协议至少运行四步骤”的结论,之后提出可转换认证加密方案的系统模型,并基于该系统模型设计基于可转换认证加密的四步骤公平交换FFEP协议。通过形式化分析表明,FFEP协议具备交换数据发送方和接收方均不可否认的特点。最后针对自动信任协商HBTN模型信任发展阶段存在的凭据公平交换问题,提出基于FFEP协议的公平交换改进模型,有效防止自动信任协商过程中信任凭据数据交换时可能发生的不公平交换问题。
In real life, trust is a basic requirement among people engaged in trading activities. In such transactions, people tend to be face to face, or is based on the historical basis of the once face-to-face interaction experience. With the rapid development of computer-related technology and the increasing popularity of the online community network applications, people in the network virtual society will no longer need the face-to-face. Therefore, it is necessary to build a safe and reliable trust mechanism of the virtual network society, which can help people to quickly establish a trust relationship when online transactions and other activities, and meet the trust management requirements of network applications on the entity identity and its related social attributes.
In order to carry out the effective management on the trust relationship among the network entities, with the trust management researches on the trust relationship in the network environment, this paper divides the trust management into the subjective trust management based on the reputation and the objective trust management based on the credentials. For the quantification-indicate of user trust attributes and the fair-exchange of user trust credentials, and focus on the soft-division method of trust-attribute-interval, the trust management model of multi-dimensional attribute, and the fair-exchange improved model of trust credentials, our research work carried out from three aspects as follows.
1)A soft-divided method for trust range based on cloud theory was proposed. For the question about the quantification-indicate of user trust attributes, different from the hard-division method based on the equidistant intervals of trust range, this paper proposed a soft-divided method for trust range based on cloud theory(TRSDM). With the collected data through the the conversion of atomic-concept, the leap of qualitative-concept, and the formation of interval-concept-table, the TRSDM method defines a detail process of the trust range soft-divide. The TRSDM has achieved the convertion from the quantitative values of the trust-attribute to the qualitative concept of the trust relationship, and it implements the soft-division of trust-attribute-range based on the qualitative concept of cloud theory using the interval-concept table. The simulation experiments and results analysis shows that the TRSDM method can effectively solve the distribution characteristics of the data collected, the uncertainty of qualitative concept, and the timeliness of the data collected.
2)A trust model based on the trust-degree concept table of multi-dimensional trust-attribute was proposed. For the question about the quantification-indicate of user trust attributes continuted, different from the indication method which merges the trust-degrees of the multi-dimensional trust-attribute, based on the TRSDM method, this paper proposed a trust model based on the trust-degree concept table of multi-dimensional trust-attribute(TCTTM). With the formation of interval-concept-table, the formaiton and update of trust-degree-concept-table, the determination of membership-concept, the evalution of trust-degree, the TCTTM model defines a detail process of the combinatorial indication of the multi-dimensional trust-attribute. The TCTTM model has revealed the intrinsic correlation among multi-dimensional trust-attribute, and it implements the indication of multi-demensional trust-attribute based on the trust-degree concept of cloud theory using the trust-degree table. The simulation experiments and results analysis shows that the TCTTM model is an effective solution to how to use more trust-degree qualitative concept to evalute entity's trust-degree.
3)A four-step fair-exchange protocol and a credential exchange model improved were proposed. For the question about the fair-exchange of user trust credential, firstly this paper proved that the non-repudiation and fair-exchange protocol based on the third-party at least run four-step. Then this paper propose a common model of convertible authenticated encryption schemes, propose a four-step and fair-exchange protocol(FFEP) based on the convertible authenticated encryption scheme using the common model. Formal analysis shows that the FFEP protocol has non-repudiation features of both sender and receiver. Lastly for the question about the credential fair-exchange in trust development stage of automated trust negotiation HBTN model, this paper propose a fair-exchange model improved based on the FFEP protocol, to prevent the unfair exchange of the credential in automated trust negotiation process.
为了对网络实体的信任关系进行有效管理,结合当前关于网络环境下信任关系的信任管理研究现状,本文将信任管理区分为基于信誉的主观信任管理和基于凭据的客观信任管理,针对用户信任属性的量化表示问题和用户信任凭据的公平交换问题,围绕信任属性区间软划分方法、多维属性信任管理模型以及信任凭据交换改进模型,从以下三个方面开展课题研究工作。
1)提出一种基于云理论定性概念的信任属性区间软划分方法。
针对用户信任属性的量化表示问题,区别于基于等距离区间法的信任区间硬划分方法,提出了一种基于云理论定性概念的信任区间软划分TRSDM方法,通过信任属性的采集数据从原子概念转换、定性概念提升和区间概念表形成这三个阶段,详细定义了TRSDM方法对信任属性区间软划分过程,达到信任属性的定量数值向信任关系的定性概念转换的目的,利用区间概念表实现基于云理论定性概念的信任属性区间软划分。通过仿真实验与结果分析可知,TRSDM方法有效地解决了关于采集数据分布特性、定性概念不确定性以及采集数据时效性的三个问题。
2)提出一种基于多维属性信任度概念表的信任模型。
继续针对用户信任属性的量化表示问题,区别于将多个维度信任度进行合并的表示方法,结合信任区间软划分TRSDM方法,提出了
一种基于多维属性信任度概念表的信任管理TCTTM模型,通过区间概念表形成、信任度概念形成与更新、隶属概念判定、信任等级评估,详细阐述了TCTTM模型对多维度信任属性联合表示处理过程,达到揭示这些信任属性间的内在关联性的目的,利用信任度概念表实现基于信任度概念的多维属性信任度表示。通过仿真实验与结果分析可知,TCTTM模型有效解决了如何使用多个定性概念进行针对实体网络行为的信任等级评估问题。
3)提出一种适用于信任管理的四步骤公平交换协议和凭据交换改进模型。
针对用户信任凭据的公平交换问题,首先论证“基于第三方的不可否认的公平交换协议至少运行四步骤”的结论,之后提出可转换认证加密方案的系统模型,并基于该系统模型设计基于可转换认证加密的四步骤公平交换FFEP协议。通过形式化分析表明,FFEP协议具备交换数据发送方和接收方均不可否认的特点。最后针对自动信任协商HBTN模型信任发展阶段存在的凭据公平交换问题,提出基于FFEP协议的公平交换改进模型,有效防止自动信任协商过程中信任凭据数据交换时可能发生的不公平交换问题。
In real life, trust is a basic requirement among people engaged in trading activities. In such transactions, people tend to be face to face, or is based on the historical basis of the once face-to-face interaction experience. With the rapid development of computer-related technology and the increasing popularity of the online community network applications, people in the network virtual society will no longer need the face-to-face. Therefore, it is necessary to build a safe and reliable trust mechanism of the virtual network society, which can help people to quickly establish a trust relationship when online transactions and other activities, and meet the trust management requirements of network applications on the entity identity and its related social attributes.
In order to carry out the effective management on the trust relationship among the network entities, with the trust management researches on the trust relationship in the network environment, this paper divides the trust management into the subjective trust management based on the reputation and the objective trust management based on the credentials. For the quantification-indicate of user trust attributes and the fair-exchange of user trust credentials, and focus on the soft-division method of trust-attribute-interval, the trust management model of multi-dimensional attribute, and the fair-exchange improved model of trust credentials, our research work carried out from three aspects as follows.
1)A soft-divided method for trust range based on cloud theory was proposed. For the question about the quantification-indicate of user trust attributes, different from the hard-division method based on the equidistant intervals of trust range, this paper proposed a soft-divided method for trust range based on cloud theory(TRSDM). With the collected data through the the conversion of atomic-concept, the leap of qualitative-concept, and the formation of interval-concept-table, the TRSDM method defines a detail process of the trust range soft-divide. The TRSDM has achieved the convertion from the quantitative values of the trust-attribute to the qualitative concept of the trust relationship, and it implements the soft-division of trust-attribute-range based on the qualitative concept of cloud theory using the interval-concept table. The simulation experiments and results analysis shows that the TRSDM method can effectively solve the distribution characteristics of the data collected, the uncertainty of qualitative concept, and the timeliness of the data collected.
2)A trust model based on the trust-degree concept table of multi-dimensional trust-attribute was proposed. For the question about the quantification-indicate of user trust attributes continuted, different from the indication method which merges the trust-degrees of the multi-dimensional trust-attribute, based on the TRSDM method, this paper proposed a trust model based on the trust-degree concept table of multi-dimensional trust-attribute(TCTTM). With the formation of interval-concept-table, the formaiton and update of trust-degree-concept-table, the determination of membership-concept, the evalution of trust-degree, the TCTTM model defines a detail process of the combinatorial indication of the multi-dimensional trust-attribute. The TCTTM model has revealed the intrinsic correlation among multi-dimensional trust-attribute, and it implements the indication of multi-demensional trust-attribute based on the trust-degree concept of cloud theory using the trust-degree table. The simulation experiments and results analysis shows that the TCTTM model is an effective solution to how to use more trust-degree qualitative concept to evalute entity's trust-degree.
3)A four-step fair-exchange protocol and a credential exchange model improved were proposed. For the question about the fair-exchange of user trust credential, firstly this paper proved that the non-repudiation and fair-exchange protocol based on the third-party at least run four-step. Then this paper propose a common model of convertible authenticated encryption schemes, propose a four-step and fair-exchange protocol(FFEP) based on the convertible authenticated encryption scheme using the common model. Formal analysis shows that the FFEP protocol has non-repudiation features of both sender and receiver. Lastly for the question about the credential fair-exchange in trust development stage of automated trust negotiation HBTN model, this paper propose a fair-exchange model improved based on the FFEP protocol, to prevent the unfair exchange of the credential in automated trust negotiation process.
引文
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