Trust Evaluation Model Research Articles

A Trading Practice Based Trust Evaluation Model in Dynamic Virtual Enterprise

In allusion to the trust evaluation of partner in Dynamic Virtual Enterprise, a trading practice based trust evaluation model was constructed. The trust evaluation process was divided into real-time feedback information based evaluation, trading history based evaluation and comprehensive evaluation, and the computing methods of every process were put forward. In trading history based evaluation, the relative between the weight of every trading and its trading time was researched. A correction factor of evaluation value was introduced in the process of comprehensive evaluation to reduce the influence of subjective factors in feedback information. Through the research and analysis of simulate experiment, the feasibility and the rationality of this trust evaluation model was verified.

Computational trust evaluation model based on temporal sequential marker

Trust itself is a social cognitive concept,so it is fit to research trust from cognitive view.A conceptual model based on Temporal Sequential Marker(TSM)was proposed after introducing time cognition.Furthermore,three different kinds of forgetting effects(distance effect,boundary effect and hierarchical effect)were considered for the computing of TSM-trust of each individual.D-S theory was exploited to build up a computational dynamic trust(TSM-Trust)model based on the proposed conceptual model.The proposed model was verified through comparison of theoretical results and experimental results.

Research on access control oriented trust evaluation and tracing methods

Quantificational trust expression and trust relation discovery are difficulties that are not well tackled in trust based on access control.A trust evaluation model based on fuzzy set theory was introduced.By defining a decay function,the effect of time on trust was considered in the model.Then an algorithm of distributed trust discovery was proposed and discussed with some examples.The algorithm can improve the efficiency of trust relation discovery in access control.

A Capability Enhanced Trust Evaluation Model for Web Services

In open environment, an effective trust mechanism should be built to ensure transaction safety. But current trust evaluation approaches solely based on the certificate or feedback are inaccurate and ineffective. Thus, referring to the social trust models, this paper presents a capability enhanced method to improve the accuracy of evaluating trustworthiness. Based on it, this paper also designs a trust evaluation model ServTrust that naturally provides a solution to the trust problem. Compared with current feedback based approaches, simulation experimental results show the effectiveness of the proposed model in trust evaluating.

A secure mobile healthcare system using trust-based multicast scheme

Due to the introduction of telecommunication technologies in telemedicine services, the expeditious development of wireless and mobile networks has stimulated wide applications of mobile electronic healthcare systems. However, security is an essential system requirement since many patients have privacy concerns when it comes to releasing their personal information over the open wireless channels. For this reason, this study discusses the characteristics and security issues with wireless and pervasive data communications for a ubiquitous and mobile healthcare system which consists of a number of mobile devices and sensors attached to a patient. These devices form a mobile ad hoc sensor network and collect data that are sent to a hospital or healthcare center for monitoring. Subsequently, this paper discusses the innovation and design of a novel trust evaluation model. We then propose a secure multicast strategy that employs trust in order to evaluate the behavior of each node, so that only trustworthy nodes are allowed to participate in communications, while the misbehavior of malicious nodes is effectively prevented. We analyze the security properties of our multicast scheme and evaluate its performance based on simulation experiments. Our experimental results demonstrate that our scheme not only achieves the necessary data transmission in mobile environments, but also provides more security with reasonably little additional overhead.

Advanced multi-phase trust evaluation model for collaboration between coworkers in dynamic virtual project teams

With the globalization of commercial practices and advances in information and communication technologies, increasing numbers of enterprises and workers are establishing cross-functional, geographically distributed virtual project teams (VPTs) to maximize competitive advantage from limited labor and resources. One of the major challenges for workers in VPT is developing trust. Trust is a particularly crucial issue for VPT success because numerous project tasks are interdependent, making team members reliant on the functional expertise of their partners. The challenge to develop trust is particularly complex because trust should consider various factors into different assessments made during different phases of a VPT. This study first introduces a previously proposed trust evaluation model for evaluating trust over the lifecycle of VPTs. The original method, which comprises a method for evaluating trust between two VPT workers and a method for evaluating worker reliability, in which direct, indirect and negative trust relationships are considered in calculating trust between workers. This study aims to improve this method and then design an advanced multi-phase trust evaluation model, which comprises calculus-based, contribution-based and affective-based trust evaluation sub-models for evaluating trust during three different VPT phases (early, middle and late project phases). The advanced multi-phase trust evaluation model is a more appropriate means of assessing degree of trust among coworkers than the original model. Therefore, using the three sub-models during different project phases can assist VPT workers in making more accurate decisions regarding secure resource sharing with other coworkers.

A Reputation-Based Trust Evaluation Model for P2P E-Commerce

P2P e-commerce as a new shopping pattern is developing rapidly, and users can transact with anybody anytime and anywhere in the P2P e-commerce system, but as users often interact with strangers, hence building trust among the users, make the users know each other well, estimate the risk of participating in a transaction, and enable to transact securely in the P2P e-commerce system is an urgent problem to be solved for P2P e-commerce nowadays. In order to settle the problem, this paper provides a novel reputation-based trust model in P2P e-commerce system. The main thought of the proposed trust model is that a node has two types of reputation: local reputation and global reputation. In the local reputation computing, we take the calculation of factors including the amount of transaction money and transaction time and so on, and in the global reputation computing, there are three factors introduced—the number of neighbor nodes, the direct trust level of neighbor nodes, and the trust evaluation weight of neighbor nodes, and finally the object node's trust level can be obtained by using the local reputation weight coefficient and the global reputation weight coefficient to integrate the node's local reputation with global reputation. We have conducted two experiments that show that our trust model contrast with the present typical trust models EigenRep and Beta in the aspects of the computing load and the successful transaction rate. The first experiment shows that the trust model has a lower computing load compared to the EigenRep and Beta, because we do not compute the node's reputation through the transitive recommending of the intermediate nodes; the second experiment shows that the trust model has a higher successful transaction rate when the malicious nodes exist in the system, and even the number of malicious nodes proportion is larger, the trust model also has a higher successful transaction rate. In conclusion, the trust model more roundly takes into account the factors affecting the local reputation and global reputation and can greatly improve their computing methods. The experiment results show that the trust model can reduce the trust level computing load, and have more improvements on the successful transaction rate and anti-attack capability compared to the existing trust models. But the trust model does not introduce the risk factor, and the logic of the trust mode is relatively simple, so our trust model still needs to be improved constantly.

Manufacturing enterprise collaboration based on a goal-oriented fuzzy trust evaluation model in a virtual enterprise

To cope with the rapidly changing manufacturing environment, enterprise collaboration is getting increasingly more attention than ever before. The virtual enterprise (VE) is a concept that supports temporary alliances of manufacturing enterprises that have various collaboration models, such as extended enterprise, networked enterprise, concurrent enterprise, etc. Selection of trustworthy partners and trust building are important in virtual domains because they have largely been affecting the success of a VE. However, because of its complexity of trust, trust models in the literature are limited in their ability to cope with dynamic and virtual environment. In this paper, we propose a trust evaluation method of supporting enterprise collaboration and maximizing the satisfaction of cooperation. In this context, trust means the goal achievement probability. Trust value of an enterprise can be obtained by a fuzzy inference system whose rule-base is based on the top-level goal of a VE. According to the selector’s preference, various rules can be applied to trust evaluation. For further study, the planning and scheduling problems should be considered along with the trust-based partner selection for collaboration among manufacturing enterprises.

Research progress of trust evaluation model

Software systems in distributed environment are changing from a close and relatively static form, whose users are familiar with each other, to an open and highly dynamic mode, which can be visited by public. In such circumstance, trust evaluation model becomes focus of intense research at current time. Trust evaluation model establishes a management framework of trust relationship between entities, involving expression and measurement of trust, comprehensive calculation of direct trust value and recommended trust value, and recognition of malicious entities and recommendations. Based on the analysis of several typical trust evaluation models, the classification of trust evaluation ideas and modes is discussed, the questions existing in current research and the directions of future research are pointed out.

Trust Model Based on Minimal Uncertainty Metric in Wireless Mesh Network

PDF HTML阅读 XML下载 导出引用 引用提醒 无线网状网基于不确定性度量极小化信任模型 DOI: 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: Supported by the National Natural Science Foundation of China under Grant Nos.60673142, 60473090 (国家自然科学基金) Trust Model Based on Minimal Uncertainty Metric in Wireless Mesh Network Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:WMN(wireless mesh network)网络环境中,网络拓扑结构的改变或无线冲突的发生,都可能导致作为信任值评估证据的样本空间不一定完整和可靠,使得现有的信任评估模型不能应用其上.为了解决WMN网络节点间信任评估问题和建立信任关系,在研究现有信任模型并分析其存在问题的基础上,提出了基于不确定性度量极小化的信任模型.模型引入可信任度因子,根据网络实际情况,弱化证据样本空间不一定完整和可靠对信任值评估的影响,使得信任评估值的修正量在全局范围内达到最小.仿真实验与基于证据理论的信任评估模型进行了对比 Abstract:In wireless mesh networks, the sample space of evidence may be not integrative or reliable because of the change of network topology and the occurrence of wireless collision. It makes the existing trust evaluation models inapplicable. To evaluate trust values of nodes and establish trust relationship in nodes, a trust model is proposed on the basis of the analyses of the existing trust models and the minimal principle of uncertainty metric. The model reduces the influence of the non-integrated and unreliable sample space through importing a credible parameter. According to the real situation of networks, the model can minimize the amendment of evaluation values in the whole scope. Contrasted with the evidence-based trust model, the simulation results show that the proposed model is effective. 参考文献 相似文献 引证文献

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PDF HTML阅读 XML下载 导出引用 引用提醒 无线网状网基于不确定性度量极小化信任模型 DOI: 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: Supported by the National Natural Science Foundation of China under Grant Nos.60673142, 60473090 (国家自然科学基金) Trust Model Based on Minimal Uncertainty Metric in Wireless Mesh Network Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:WMN(wireless mesh network)网络环境中,网络拓扑结构的改变或无线冲突的发生,都可能导致作为信任值评估证据的样本空间不一定完整和可靠,使得现有的信任评估模型不能应用其上.为了解决WMN网络节点间信任评估问题和建立信任关系,在研究现有信任模型并分析其存在问题的基础上,提出了基于不确定性度量极小化的信任模型.模型引入可信任度因子,根据网络实际情况,弱化证据样本空间不一定完整和可靠对信任值评估的影响,使得信任评估值的修正量在全局范围内达到最小.仿真实验与基于证据理论的信任评估模型进行了对比 Abstract:In wireless mesh networks, the sample space of evidence may be not integrative or reliable because of the change of network topology and the occurrence of wireless collision. It makes the existing trust evaluation models inapplicable. To evaluate trust values of nodes and establish trust relationship in nodes, a trust model is proposed on the basis of the analyses of the existing trust models and the minimal principle of uncertainty metric. The model reduces the influence of the non-integrated and unreliable sample space through importing a credible parameter. According to the real situation of networks, the model can minimize the amendment of evaluation values in the whole scope. Contrasted with the evidence-based trust model, the simulation results show that the proposed model is effective. 参考文献 相似文献 引证文献

Evaluating transaction trust and risk levels in peer-to-peer e-commerce environments

Trust evaluation is critical to peer-to-peer (P2P) e-commerce environments. Traditionally the evaluation process is based on other peers' recommendations neglecting transaction amounts. This may lead to the bias in transaction trust evaluation and risk the new transaction. The weakness may be exploited by dishonest sellers to obtain good transaction reputation by selling cheap goods and then cheat buyers by selling expensive goods. In this paper we present a novel model for transaction trust evaluation, which differentiates transaction amounts when computing trust values. The trust evaluation is dependent on transaction history, the amounts of old transactions, and the amount of the new transaction. Therefore, the trust value can be taken as the risk indication of the forthcoming transaction and is valuable for the decision-making of buyers.

Security and Trust for Wireless Autonomic Networks Systems and Control Methods

We analyze and solve various problems of security, information assurance and trust in dynamic wireless networks. These include detection and defense against attacks, detection of propagating viruses, evaluation of intrusion systems, attacks at the physical, MAC and routing protocols, trust establishment-dynamicsmanagement. We demonstrate persistently that systems and control models and methodologies provide new and powerful techniques to analyze these problems. We describe the use of distributed change detection methods and algorithms for intrusion detection and the use of non-cooperative games for the detection and defense against attacks at all layers. We demonstrate how Bayesian decision theory can be used to evaluate intrusion detection systems and we resolve some key problems in this area. We use game theoretic methods again to develop robust protocols against attacks, including Byzantine ones. We provide an in-depth investigation of trust establishment and computation in such networks. We describe various methods for distributed trust evaluation and the associated trust (and mistrust) ‘spreading’ dynamics. We investigate rules and policies that establish ‘trust-connected’ networks using only local interactions, and find the parameters (e.g. topology type) that speed up or slow down this transition. We describe and explain the phase transition phenomena that we have found in these evolutions. We model the interactions among agents as cooperative games and show that trust can encourage agents to collaborate. This leads us to a fundamental analytical technique, constrained coalitional games, that can be used to evaluate tradeoffs in collaborative networks in various areas: communications, sensors, economics, sociology, biology. We also describe a model for trust evaluation that uses pairwise iterated graph games between the agents to create a ‘trust reputation’ with evolution coupled to the game dynamics. Finally we present a new modeling framework for trust metric evaluation as linear iterations over ordered semirings. This allows us to formulate problems of resilience of trust metrics and trust evaluation to attacks.

Fuzzy trust evaluation and credibility development in multi-agent systems

E-commerce markets can increase their efficiency through the usage of intelligent agents which negotiate and execute contracts on behalf of their owners. The measurement and computation of trust to secure interactions between autonomous agents is crucial for the success of automated e-commerce markets. Building a knowledge sharing network among peer agents helps to overcome trust-related boundaries in an environment where least human intervention is desired. Nevertheless, a risk management model which allows individual customisation to meet the different security needs of agent-owners is vital. The calculation and measurement of trust in unsupervised virtual communities like multi-agent environments involves complex aspects such as credibility rating for opinions delivered by peer agents, or the assessment of past experiences with the peer node one wishes to interact with. The deployment of suitable algorithms and models imitating human reasoning can help to solve these problems. This paper proposes not only a customisable trust evaluation model based on fuzzy logic but also demonstrates the integration of post-interaction processes like business interaction reviews and credibility adjustment. Fuzzy logic provides a natural framework to deal with uncertainty and the tolerance of imprecise data inputs to fuzzy-based systems makes fuzzy reasoning especially attractive for the subjective tasks of trust evaluation, business-interaction review and credibility adjustment.

Trust Evaluation Model for Catching Japanese Bankruptcy Chances

This article aims at verifying the rationality of experiential subjectivities of credit analysts. In order to understand future events that can occur in an enterprise, uncertainty can be reduced based on their expertise. Rather than bankruptcy prediction accuracy, as in preceding studies, the aim here is to build a credit risk model from the viewpoint of credit analysts with sufficient experience for causal analysis. Factors that professional analysts pay major attention to in discovering bankruptcy chances are studied. The significant factors presented are four categories of what I call trust fear factors. The significance of the credit risk model based on these four factors was validated by statistical test, and this model was verified as a pragmatic model. The finding here is that subjective expertise works effectively for discovering an enterprise’s critical situation turning towards bankruptcy.