Multidimensional Trust Research Articles

Trust evaluation model with entropy-based weight assignment for malicious node\u2019s detection in wireless sensor networks

Trust management is considered as an effective complementary mechanism to ensure the security of sensor networks. Based on historical behavior, the trust value can be evaluated and applied to estimate the reliability of the node. For the analysis of the possible attack behavior of malicious nodes, we proposed a trust evaluation model with entropy-based weight assignment for malicious node’s detection in wireless sensor networks. To mitigate the malicious attacks such as packet dropping or packet modifications, multidimensional trust indicators are derived from communication between adjacent sensor nodes, and direct and indirect trust values will be estimated based on the corresponding behaviors of those sensor nodes. In order to improve the validity of trust quantification and ensure the objectivity of evaluation, the entropy weight method is applied to determine the proper value of the weight. Finally, the indirect trust value and direct trust value are synthesized to obtain the overall trust. Experimental results show that the proposed scheme performs well in terms of the identification of malicious node.

Determinants of satisfactory patient communication and shared decision making in patients with multiple myeloma.

To identify determinants of shared decision making in patients with multiple myeloma (MM) to facilitate the design of a program to maximize the effects of shared decision making. This prospective longitudinal study recruited 276 adult patients (52% male, mean age 62.86 y, SD 15.45). Each patient completed the eHealth Literacy Scale (eHEALS), Multidimensional Trust in Health Care Systems Scale (MTHCSS), Patient Communication Pattern Scale (PCPS), and 9-Item Shared Decision-Making Questionnaire (SDM-Q-9) at baseline and the SDM-Q-9 again 6 months later. One family member of the patient completed the Family Decision-Making Self-Efficacy (FDMSE) at baseline. Structural equation modeling (SEM) was used to investigate the associations between eHealth literacy (eHEALS), trust in the health care system (MTHCSS), self-efficacy in family decision making (FDMSE), patient communication pattern (PCPS), and shared decision making (SDM-Q-9). SEM showed satisfactory fit (comparative fit index = 0.988) and significant correlations between the following: eHealth literacy and trust in the health care system (β = 0.723, P < 0.001); eHealth literacy and patient communication pattern (β = 0.242, P < 0.001); trust in the health care system and patient communication pattern (β = 0.397, P < 0.001); self-efficacy in family decision making and patient communication pattern (β = 0.264, P < 0.001); eHealth literacy and shared decision making (β = 0.267, P < 0.001); and patient communication pattern and shared decision making (β = 0.349, P < 0.001). Patient communication and eHealth literacy were found to be important determinants of shared decision making. These factors should be taken into consideration when developing strategies to enhance the level of shared decision making.

Multi-dimensional trust between partners for international online collaborative learning in the Third Space

The International Network for Chemistry Language Development is a community of faculty and students that employ video conferencing technologies in collaborative learning experiences. Learners partner with an international peer at another university to complete online collaborative assignments (OCAs). OCAs focus on shared learning and professional experience rather than assessment of knowledge to practice chemistry communication in the oral, written, and symbolic domains. We present OCAs as an example of the Third Space, where control over interactions and learning is negotiated between unfamiliar remote students, empowering students as emerging experts. This digital Third Space results in the formation of trust (a) between student partners to prepare for—and contribute during—the OCAs, and (b) between students and faculty as partners in teaching and learning. Additionally, we report how revisions to the OCA design are achieved with current students as consultants and partners, and former students as co-researchers and co-designers.

COSTA: Composite Trust-Based Asset-Task Assignment in Mobile Ad Hoc Networks

In mobile ad hoc networks (MANETs), asset-task assignment problems have been explored with vastly different approaches. Considering the unique characteristics of MANET environments, such as no centralized trusted entity, a lack of resources, and high-security vulnerabilities, resource allocation is not a trivial problem particularly for situations where a mobile team aims to successfully complete a common mission. The existing approaches have studied asset-task assignment problems by best matching a node's functionality and requirements of a given task. In this paper, we propose a task assignment protocol using the concept of multidimensional trust, namely, CompoSite Trust-based Assignment (COSTA), aiming to maximize the completion ratio of a common mission consisting of multiple tasks by balancing trust and risk in executing them. Based on the core concept of trust defined as the willingness to take the risk in performing a given task, COSTA selects qualified nodes for a given task while meeting an acceptable risk level for executing multiple tasks contributing to successful mission completion. Given a mission consisting of dynamic multiple tasks, we model each task with importance, urgency, and difficulty characteristics and use them for selecting qualified members. In addition, we model a node's risk behavior (i.e., risk-seeking, risk-neutral, and risk-averse) and investigate its impact on mission performance where a payoff is given for member selection and task execution. We formulate an optimization problem for the task assignment using integer linear programming (ILP). Our simulation results validated with ILP solutions demonstrate the existence of an optimal acceptable risk level that best balances trust and risk so as to maximize the mission completion ratio. We conduct a comprehensive comparative analysis and show that COSTA achieves a higher mission completion ratio while incurring a lower communication overhead compared with non-trust-based counterparts.

Multi-dimensional trust aware routing for clustered IOT framework

With the increased interest in the utilization of smart applications, the IoT has gained a lot of popularity in the real world scenario. Due to the integration of different heterogeneous devices in a single network, various types of security issues will arise in the IoT. To ensure more security in IoT, this paper proposes a new trust aware routing framework based on the inherent communication and data properties of devices connected in the network. A new trust metric is derived in this paper by combining two different trusts based on the communication between nodes and the information passing through them. Further to achieve a prolonged network lifetime with optimal resource conservation, a clustering based communication strategy is accomplished. Extensive simulations are carried out by varying the malicious nature of network and the performance is measured through the metrics, packet loss ratio, packet delivery ratio, delay, network lifetime and average energy consumption.

Measuring, mapping and quantifying the effects of trust and informal communication on transboundary collaboration in the Great Lakes fisheries policy network

Abstract Ecosystem-based management of fisheries and other transboundary natural resources require a number of organizations across jurisdictions to exchange knowledge, coordinate policy goals and engage in collaborative activities. Trust, as part of social capital, is considered a key mechanism facilitating the coordination of such inter-organizational policy networks. However, our understanding of multi-dimensional trust as a theoretical construct and an operational variable in environmental and natural resource management has remained largely untested. This paper presents an empirical assessment of trust and communication measures applied to the North American Great Lakes fisheries policy network. Using a scale-based method developed for this purpose, we quantify the prevalence of different dimensions of trust and in/formal communication in the network and their differentiated impacts on decision-making and goal consensus. Our analysis reveals that calculation-based ‘rational trust’ is important for aligning mutual goals, but relationship-based ‘affinitive trust’ is most significant for influencing decision-making. Informal communication was also found to be a strong predictor of how effectively formal communication will influence decision-making, confirming the “priming” role of informal interactions in formal inter-agency dealings. The results also show the buffering and interactive functions of these components in strengthening institutional resilience, with procedural trust undergirding the system to compensate for a lack of well-developed relationships. Overall, this study provides evidence to suggest that informal communication and multi-dimensional trust constitute a crucial element for improving collaboration and reducing conflict in the networked governance of transboundary natural resource systems.

A multidimensional trust evaluation model for MANETs

Effective trust management can enhance nodes' cooperation in selecting trustworthy and optimal paths between the source and destination nodes in mobile ad hoc networks (MANETs). It allows the wireless nodes (WNs) in a MANET environment to deal with uncertainty about the future actions of other participants. The main challenges in MANETs are time-varying network architecture due to the mobility of WNs, the presence of attack-prone nodes, and extreme resource limitations. In this paper, an energy-aware and social trust inspired multidimensional trust management model is proposed to achieve enhanced quality of service (QoS) parameters by overcoming these challenges. The trust management model calculates the trust value of the WNs through peer to peer and link evaluations. Energy and social trust are utilized for peer to peer evaluation, while an optimal routing path with a small number of intermediate nodes with minimum acceptable trust value is used for evaluation of the link. Empirical analysis reveals that the proposed trust model is robust and accurate in comparison to the state-of-the-art model for MANETs.

호텔신입사원이 지각하는 불완전취업이 조직시민행동 및 이직의도에 미치는 영향에 있어 다차원신뢰의 조절효과에 대한 연구

In this research, the effect of unstable employment on organizational citizenship behavior and turnover intention was studied. In addition, multidimensional trust as a variable which buffers the effect of unstable employment in the relationship between organizational citizenship behavior and turnover intention. The survey method was used for this paper, and data from a total of 284 hotel new employees were used for the analysis. And structural equation model was used to analyze the data. The results of the research were generated as follows. First, unstable employment was shown to lower organizational citizenship behavior. Second, unstable employment was shown to higher turnover intention. Third, organizational citizenship behavior was shown to lower turnover intention. Forth, multidimensional trust was not shown to have moderating effect on unstable employment and organizational citizenship behavior. Fifth, multidimensional trust was shown to have moderating effect on unstable employment and turnover intention. Sixth, multidimensional trust was shown to have moderating effect on organizational citizenship behavior and turnover intention.

Modeling the Effect of Multidimensional Trust on Individual Monetary Donations to Charitable Organizations

This study develops and validates a model that evaluates the effect of trust on individual monetary donations to charitable organizations (COs). Data were collected in Saudi Arabia using a two-stage approach and were analyzed via structural equation modeling. Data on psychosocial variables were collected in the first stage, and data on behavior were collected in the second stage, 4 weeks later. The findings confirm the study’s novel multidimensional perspective of trust in the context of individual monetary donations to COs in Saudi Arabia. The results validate the view that trust is present only when the individuals concerned are disposed to trust others and when they believe that the COs can conduct their charitable mission, are honest in the use of their donations, and prioritize beneficiaries’ rights. Individuals’ trust in COs affects both the intention to donate and future monetary donation behavior.

A Multi-Dimensional Trust Model for Processing Big Data Over Competing Clouds

4Cloud computing has emerged as a powerful paradigm for delivering data-intensive services over the Internet. Cloud computing has enabled the implementation and success of big data, a recent phenomenon handling huge data being generated from different sources. Competing clouds have made it challenging to select a cloud provider that guarantees quality of cloud service (QoCS). Also, cloud providers’ claims of guaranteeing QoCS are exaggerated for marketing purposes; hence, they cannot often be trusted. Therefore, a comprehensive trust model is necessary to evaluate the QoCS prior to making any selection decision. In this paper, we propose a multi-dimensional trust model for big data workflow processing over different clouds. It evaluates the trustworthiness of cloud providers based on: the most up-to-date cloud resource capabilities, the reputation evidence measured by neighboring users, and a recorded personal history of experiences with the cloud provider. The ultimate goal is to ensure an efficient selection of trustworthiness cloud provider who eventually will guarantee high QoCS and fulfills key big data workflow requirements. Various experiments were conducted to validate our proposed model. The results show that our model captures the different components of trust, ensures high QoCS, and effectively adapts to the dynamic nature of the cloud.

An Anomaly-Based Intrusion Detection System with Multi-Dimensional Trust Parameters for Mobile Ad Hoc Network

An Anomaly-Based Intrusion Detection System with Multi-Dimensional Trust Parameters for Mobile Ad Hoc Network

Trust-Based Service Composition and Binding with Multiple Objective Optimization in Service-Oriented Mobile Ad Hoc Networks

With the proliferation of fairly powerful mobile devices and ubiquitous wireless technology, we see a transformation from traditional mobile ad hoc networks (MANETs) into a new era of service-oriented MANETs wherein a node can provide and receive services. Requested services must be decomposed into more abstract services and then bound; we formulate this as a multi-objective optimization (MOO) problem to minimize the service cost, while maximizing the quality of service and quality of information in the service a user receives. The MOO problem is an SP-to-service assignment problem. We propose a multidimensional trust based algorithm to solve the problem. We carry out an extensive suite of simulations to test the relative performance of the proposed trust-based algorithm against a non-trust-based counterpart and an existing single-trust-based beta reputation scheme. Our proposed algorithm effectively filters out malicious nodes exhibiting various attack behaviors by penalizing them with loss of reputation, which ultimately leads to high user satisfaction. Further, our proposed algorithm is efficient with linear runtime complexity while achieving a close-to-optimal solution.

Design and Comparative Analysis of MCDM-based Multi-dimensional Trust Evaluation Schemes for Determining Trustworthiness of Cloud Service Providers

This paper presents the design and comparative analysis of MCDM-based multi-dimensional trust evaluation schemes for determining trustworthiness of Cloud Service Providers (CSPs) in a cloud environment. The trustworthiness has been defined as the degree of compliance provided by a CSP to the promised QoS parameters as per the Service Level Agreement (SLA). Due to large number of CSPs offering similar kinds of services in a cloud environment, it has become a challenging task for Cloud Clients (CCs) to identify and differentiate between trustworthy and untrustworthy CSPs. We present the design and comparative analysis of three MCDM-based techniques (AHP, TOPSIS and PROMETHEE) that enable CCs to determine the trustworthiness of a CSP from different perspectives. All the three schemes enable us to assess the trustworthiness of a CSP from CC's perspective, Cloud Auditor's perspective, Cloud Broker's perspective and Peers' perspective. Experimental results show that all the techniques are effective and stable in differentiating between trustworthy and untrustworthy CSPs. The PROMETHEE technique has shown advantage over the AHP and the TOPSIS methods in the sense that it has reported less uncertainty during evaluations. The applicability and validity of the schemes have been demonstrated with the help of a case study involving the use of real cloud data.

A Mutual Evaluation Based Trust Management Method for Wireless Sensor Networks

We propose a lightweight trust system for the clustered wireless sensor networks based on the mutual evaluation between the cluster heads and sensor nodes. We evaluate the trust level of a cluster head in two aspects, namely, trust level as a service provider and a supervisor. We consider multidimensional trust attributes to compute the global trust value of a node. By means of the Petri net (PN), we illustrate the performance of an entity in our trust model. Theoretical analyses as well as simulations are done and the results showed that our model with linear computational complexity had less memory and communication overhead when compared with the current state-of-art trust management scheme. In addition, our model can detect malicious and selfish entities (especially the malicious cluster head) and resist various attacks efficiently.

Trust-Oriented Partner Selection in D2D Cooperative Communications

To meet the rapid growing requirement of data services and offload the heavy base station load, device-to-device (D2D) communication is proposed as one of the key technologies for future cellular network, which can enable users to communicate directly and thus effectively improve the bearing capacity of the network. However, when D2D users transmit packets in the manner of cooperative communication, the cooperative users with non-cooperative behavior, such as the selfishness of user, may lead to a sharp decline in network performance. For this reason, in our paper, a trust-oriented partner selection mechanism (TPSM) is proposed to avoid choosing those users with non-cooperative behavior. In particular, the related psychological researches show that the psychology structure of users can be divided into three aspects: cognition, emotion, and behavior. Considering the psychology structure of users, we build multi-dimensional trust relationships between sending users and cooperative users by evaluating the cognition trust, emotion trust, and behavior trust. Furthermore, aiming at the multi-dimensional trust relationships between sending users and cooperative users, we classify the cooperative users into three categories, namely reliable users, observed users, and unreliable users, by combining the decision-theoretic rough sets based on Naive Bayes. Finally, based on different cooperative transmission scenarios, an optimal partner selection mechanism is proposed in this paper. The optimal partner can be chosen from the reliable cooperative users, according to the different scenarios and factors. The numerical results show that the proposed TPSM can effectively identify the selfish users and notably enhance the packet delivery rate.

Trusted and Energy Efficient Routing Protocol for Heterogeneous Wireless Sensor Networks

In this paper, we propose STEER for establishing secure trust-value and vitality productive directing convention for Heterogeneous Wireless Sensor Networks. STEER joins Incentive and notoriety based system to enhance the reliability in Heterogeneous Wireless Sensor Networks. The Incentive System includes credits the hubs for relaying packets. The Trust System evaluates the hub's ability and dependability in transmitting packets as far as multi-dimensional trust values. We execute two steering conventions to direct movement through exceedingly trusted hub having adequate vitality to minimize the likelihood of breaking the course. Though there are some current studies in Incentive Schemes, still they are not proficient in either vitality effectiveness or trust value, we proposed a safe convention that insurances Shortest course Path, Maximizing the system life time furthermore the Trust value. By along these lines, STEER can fortify the hubs handoff bundles, as well as keep up course strength and report right vitality ability. This is on the grounds that any loss of trust will bring about loss of future profit. In addition, for the proficient usage of the trust framework, the trust qualities are figured by handling the installment receipts. Systematic results show that STEER a safe the installment and trust figuring without false allegations. Recreation results exhibit that our directing protocols can enhance the packet conveyance proportion and course dependability.

Journeys of Hope

In pediatric malignancies, when a parent(s) and a child are faced with a life-threatening illness, the decision-making process can be quite complex. The purpose of this study was to describe parents’ experiences and their perspectives of transitions that occurred along the trajectory of their child’s illness. A thematic content analysis was performed to identify patterns in the parents’ experiences through their children’s illness. The sample included seven parents, two fathers and five mothers, whose children had died within the previous 2 years. Three overarching themes emerged: parents’ development of multidimensional trust and parents’ transitional knowing, which both occurred along the parents’ journeys of hope. In healthcare, the knowledge gained from these parents’ experiences is beneficial to practitioners to facilitate the best journey possible.

Compliance-based Multi-dimensional Trust Evaluation System for determining trustworthiness of Cloud Service Providers

This paper addresses the problem of determining trustworthiness of Cloud Service Providers (CSPs) in a cloud environment. For the current work, trustworthiness is defined as the degree of compliance of a CSP to the promised quantitative QoS parameters as defined in the Service Level Agreement (SLA). Due to large number of CSPs offering similar kinds of services in the cloud environment, it has become a challenging task for Cloud Clients (CCs) to identify and differentiate between the trustworthy and untrustworthy CSPs. At present, there is no trust evaluation system that allows CCs to evaluate the trustworthiness of CSPs on the basis of their adherence to the SLA i.e. the compliance provided by the CSPs to CCs as per the SLAs. This paper proposes a Compliance-based Multi-dimensional Trust Evaluation System (CMTES) that enables CCs to determine the trustworthiness of a CSP from different perspectives, as trust is a subjective concept. Such a system is of great help to CCs who want to choose a CSP from a pool of CSPs, satisfying their desired QoS requirements. The framework enables us to evaluate the trustworthiness of a CSP from the CC’s perspective, Cloud Auditor’s perspective, Cloud Broker’s perspective and Peers’ perspective. Experimental results show that the CMTES is effective and stable in differentiating trustworthy and untrustworthy CSPs. The validation of the CMTES has been done with the help of synthetic data due to lack of standardized dataset and its applicability has been demonstrated with the help of a case study involving the use of real cloud data.

The Determination of User Satisfaction with Personal Internet Banking Services in the Context of Australia

Based on previous studies a theoretical framework of the determinants of an individual's satisfaction using Personal Internet Banking services is formulated incorporating information system success factors complemented by elements of behavioral and environmental uncertainties (multidimensional trust and perceived risk). Data was collected using an online self-administered questionnaire from a sample of 370 users in Australia and analyzed in order to determine the relationships among factors that have significant causal effects on customer satisfaction. The results confirm the importance of some of the factors reported in previous studies but also reveal unreported significant direct and indirect causal effects on customer satisfaction. Practical conclusions provide new perspectives for Australian banks on keeping customers highly satisfied with online banking services, as the main objective of this study.

Decision Making in the Multi-Dimensional Trust by Mining Huge Volume of unstructured E-Commerce Feedback Comments

Decision Making in the Multi-Dimensional Trust by Mining Huge Volume of unstructured E-Commerce Feedback Comments