A Trust Management Model in Electronic Commerce Applications

2012 ◽  
Vol 263-266 ◽  
pp. 2669-2672
Author(s):  
Feng Yin Li ◽  
Pei Yu Liu
Keyword(s):  
Electronic Commerce ◽  
Evaluation System ◽  
Trust Management ◽  
Evaluation Method ◽  
Management Model ◽  
Management Systems ◽  
Dynamic Feature ◽  
Trust Evaluation ◽  
Management Architecture ◽  
Trust Calculation

Most current trust management systems cannot precisely reflect the dynamic feature of trust status. Based on the fundamental trust management principles and the thin client requirements in electronic commerce applications, by introducing the concept of Important Factor in trust calculation, a centralized trust management architecture and an efficient trust evaluation method were proposed. The trust evaluation method advocates defining as less formulae as possible to enable a simple and efficient trust evaluation system. And the parameters in trust evaluation equation can vary to adapt to different application environments. The simulation shows the new trust management model could precisely reflect the dynamic feature of trust status.

Research on Behavior Trust Evaluation Method of Cloud Services Based on Membership Theory

2013 ◽  
Vol 427-429 ◽  
pp. 2377-2382
Author(s):  
Ying Liu ◽  
Yan Wang ◽  
Xian You Sun
Keyword(s):  
Evaluation System ◽  
Evaluation Method ◽  
Service Providers ◽  
Evaluation Model ◽  
Degree Theory ◽  
Cloud Service ◽  
Cloud Services ◽  
Trust Evaluation ◽  
Wide Range ◽  
Cloud Users

Among the wide range of cloud service providers with different performance characteristics, in order to let the cloud users find cloud services which satisfy its performance preferences and specific trust levels,it needs to establish a reasonable and scientific cloud service trust evaluation system. This paper introduces a membership degree theory into trust evaluation model. First, it designs the trust evaluation system framework of cloud services, and establishes a trust evaluation model of cloud services. Next, it calculates the trust level of cloud services with the comprehensive trust cloud center of gravity evaluation method (CCGE). Finally, the experiment results show that this model can build precise trust relationship between cloud users and cloud services based on users performance demands.

Recommended Trust Evaluation in B2C E-Commerce Based on Fuzzy Analytic Hierarchy Process

2012 ◽  
Vol 3 (3) ◽  
pp. 60-69 ◽  
Author(s):  
Tian Bo ◽  
Wang Jia
Keyword(s):  
Analytic Hierarchy Process ◽  
Evaluation System ◽  
Evaluation Method ◽  
Online Shopping ◽  
Fuzzy Analytic Hierarchy Process ◽  
Trust Evaluation ◽  
Analytic Hierarchy ◽  
Perceived Trust ◽  
New Consumer ◽  
Hierarchy Process

Trust investigation in Business-To-Customer (B2C) E-commerce is usually based on analyzing relative compositions of B2C E-commerce, and mainly focuses on direct perceived trust of consumers. But in real B2C E-commerce, recommended trust of mature consumer is an important channel to enhance trust for a new consumer. A recommended trust evaluation method in B2C E-commerce is proposed based on fuzzy analytic hierarchy process. Firstly, compositions that affect online trust in B2C electronic-commerce are analyzed comprehensively. An individual trust evaluation system is established. Furthermore, for a new consumer, using trust evaluations of multiple mature consumers that he/she is familiar with, the study adopts fuzzy analytic hierarchy process to build composite recommended trust evaluation method. Finally, the proposed recommended trust evaluation method is applied to evaluate recommended trust of real B2C online shopping. It simulates the process of trust evaluating of a new consumer and illustrates the validity of proposed recommended trust evaluation method.

Towards a Trust Management Enabled Identity Metasystem

2010 ◽  
Vol 1 (2) ◽  
pp. 29-45
Author(s):  
Weiliang Zhao ◽  
Jian Yang
Keyword(s):  
Management System ◽  
Trust Management ◽  
Trust Evaluation ◽  
High Level Architecture ◽  
Trust Management System ◽  
Management Architecture ◽  
Consistent Manner ◽  
High Level ◽  
And Control ◽  
Digital Identities

Existing identity metasystems provide enabling tools to manage, select, and control of digital identities but they have not provided the support of trust management that should cover how trust requirements associated with digital identities are modeled, how runtime conditions for trust are evaluated, and how the results of trust evaluation are consumed by systems/applications. In this paper, the authors propose an approach toward a trust management enabled identity metasystem that covers the analysis of trust requirements and the development of trust management system in a consistent manner. The proposed trust management architecture extends the existing identity metasystems by introducing computing components for carrying out typical trust management tasks associated with digital identities. The computing components in proposed architecture provide intelligent services for these tasks. The proposed high level architecture targets the automation of the development of the trust management layer for digital identities.

Towards a Trust Management Enabled Identity Metasystem

2012 ◽  
pp. 118-134
Author(s):  
Weiliang Zhao ◽  
Jian Yang
Keyword(s):  
Management System ◽  
Trust Management ◽  
Trust Evaluation ◽  
High Level Architecture ◽  
Trust Management System ◽  
Management Architecture ◽  
Consistent Manner ◽  
High Level ◽  
And Control ◽  
Digital Identities

Existing identity metasystems provide enabling tools to manage, select, and control of digital identities but they have not provided the support of trust management that should cover how trust requirements associated with digital identities are modeled, how runtime conditions for trust are evaluated, and how the results of trust evaluation are consumed by systems/applications. In this paper, the authors propose an approach toward a trust management enabled identity metasystem that covers the analysis of trust requirements and the development of trust management system in a consistent manner. The proposed trust management architecture extends the existing identity metasystems by introducing computing components for carrying out typical trust management tasks associated with digital identities. The computing components in proposed architecture provide intelligent services for these tasks. The proposed high level architecture targets the automation of the development of the trust management layer for digital identities.

Risk-Based Trust Management for E-Commerce

2010 ◽  
pp. 332-351 ◽  
Author(s):  
Soon-Keow Chong ◽  
Jemal H. Abawajy
Keyword(s):  
Electronic Commerce ◽  
Transaction Costs ◽  
Management System ◽  
Trust Management ◽  
Management Model ◽  
Risk Level ◽  
Electronic Market ◽  
Trust Management System ◽  
Online Trading ◽  
Potential Risks

Electronic commerce (e-commerce) offers enormous opportunities for online trading while at the same time presenting potential risks. Although various mechanisms have been developed to elevate trust in e-commerce, research shows that shoppers continue to be skeptical about buying online and lack of trust is often cited as the main reason for it. Thus, enhancing success in e-commerce requires eliminating or reducing the risks. In this chapter, we present a multi-attribute trust management model that incorporates trust, transaction costs and product warranties. The new trust management system enables potential buyers to determine the risk level of a product before committing to proceed with the transaction. This is useful to online buyers as it allows them to be aware of the risk level and subsequently take the appropriate actions to minimize potential risks before engaging in risky businesses. Results of various simulation experiments show that the proposed multi-attribute trust management system can be highly effective in identifying risky transaction in electronic market places.

scholarly journals Machine Learning Empowered Trust Evaluation Method for IoT Devices

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 65066-65077
Author(s):  
Wei Ma ◽  
Xing Wang ◽  
Mingsheng Hu ◽  
Qinglei Zhou
Keyword(s):  
Machine Learning ◽  
Evaluation Method ◽  
Trust Evaluation ◽  
Iot Devices
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