Trust Model Research Articles

Corpus-semantic analysis of the value of trust in phraseology (on the material English, German, Russian and Chechen)

The article is devoted to the study of the value of trust in the phraseology of English, German, Russian and Chechen. Semantic, corpus, comparative analysis of idioms by taxa is carried out: complete trust, formation of trust, destruction of trust. In English, Russian and Chechen, trust is associated with faith. In German contexts, a negative attitude towards blind and complete trust is reflected, the importance of having reliable data is emphasized. In Russian, idioms express the meaning of “seeking trust,” which requires effort. In Russian, trust is community, ownership, work, language. In the Chechen language, trust is highly appreciated and must be achieved, earned. In the contexts of the use of idioms, the theme of the language factor and speech communication in the process of building trust relationships also develops. In all languages, a common language model of trust is built, which includes communication participants, communication content, semantic and connotative aspects. In different languages, the value of trust is expressed through the prism of human relations and character properties, as openness, kindness, community. Data from the British National Corps, the Corps of Modern American Language, the National Corps of the Russian Language showed that in different languages quasi-equivalent idioms are characterized by different frequencies of use.

TRUTH: Trust and Authentication Scheme in 5G-IIoT

Due to the extremely important role of data in the industrial Internet of Things (IIoT) network, trust and security of data are among the major concerns. In this article, we develop a cloud-integrated 5G-IIoT network architecture enabled by a three-party authenticated key exchange (AKE) protocol with privacy-preserving to secure data exchanged via wireless communication, cope with unauthorized entities, and ensure data integrity. Moreover, we develop a trust model based on the Dempster–Shafer theory to check the trustworthiness of data collected by smart devices/sensor nodes. Security analysis performed on our scheme demonstrates that it can withstand different well known attacks in the IIoT environment. We also analyzed the validity of our scheme by using the automated validation of internet security protocols and applications tool. Additionally, the performance evaluation and experimental results prove the effectiveness of the proposed scheme compared to the existing works in terms of accuracy, delay, trust, and throughput.

Systematic Review of Organizational Trust Models

Systematic Review of Organizational Trust Models

Decision making method of e-consumption behavior and attitude based on social network trust model

Decision making method of e-consumption behavior and attitude based on social network trust model

Decision-making method of e-consumption behaviour and attitude based on social network trust model

Decision-making method of e-consumption behaviour and attitude based on social network trust model

Trust Model for Reliable Grouping-Based Communications in Vehicular Ad-Hoc Networks

Trust Model for Reliable Grouping-Based Communications in Vehicular Ad-Hoc Networks

SentiTrust: A New Trust Model for Decentralized Online Social Media

SentiTrust: A New Trust Model for Decentralized Online Social Media

Before Ethereum. The Origin and Evolution of Blockchain Oracles

Before the advent of alternative blockchains such as Ethereum, the future of decentralization was all in the hands of Bitcoin. Together with Nakamoto itself, early developers were trying to leverage Bitcoin potential to decentralize traditionally centralized applications. However, being Bitcoin a decentralized machine, available non-trustless oracles were considered unsuitable. Therefore, strategies had to be elaborated to solve the so-called oracle problem in the newborn scenario. By interviewing early developers and crawling early forums and repositories, this paper aims to retrace and reconstruct the chain of events and contributions that gave birth to oracles on Bitcoin. The evolution of early trust models and approaches to solving the oracle problem is also outlined. Analyzing technical and social barriers to building oracles on Bitcoin, the transition to Ethereum will also be discussed.

Social Internet of Things: Ethical AI Principles in Trust Management

Trust management has become a fundamental requirement for Social Internet of Things (SIoT) to enable a trustworthy social network of smart objects necessary for enhancing the security and reliability of cyber-physical systems. To increase the credibility scores in trust management, AI (Artificial Intelligence) has been adopted. However, the current need for digital acceleration has brought ethical concerns related to the smartness and social consciousness of autonomous objects, which leads to a question whether AI-based trust management is ready to deal with these concerns. In this paper, we consider 11 ethical dimensions within the context of trust management in SIoT. Then, we examine the existing AI-based trust models in the context of SIoT and its related application domains to assess their maturity in terms of the 11 ethical dimensions. The evaluation results show how trust management can be improved by AI ethical principles in vehicular networks and underwater acoustic sensor networks.

Modeling public acceptance of demand-responsive transportation: An integrated UTAUT and ITM framework

Demand-responsive transportation (DRT) is a flexible form of shared mobility in which service provision is shaped by the user demand. DRT has been considered a sustainable mobility solution, as it reduces CO2 emissions from fixed-route services and encourages a mode shift from private cars to shared mobility. Given that public acceptance is a key for the wider diffusion of DRT, this study explored the factors affecting usage intention for DRT in the Republic of Korea. Drawing on the unified theory of acceptance and use of technology (UTAUT) and the initial trust model (ITM), a conceptual framework was developed that linked attitudinal and psychological factors to behavioral intention for DRT usage. 1168 valid observations were collected from adults aged 19–64 years in the Republic of Korea using a structured online survey, and analyzed using structural equation modeling. The results showed that the four UTAUT constructs (performance expectancy, social influence, facilitating conditions, and environmental concerns) were directly related to intention for DRT usage. Indirect impacts of perceived safety, structural assurance, familiarity, performance expectancy, and effort expectancy on initial trust were also found. Consequently, the constructs with the greatest total effect on usage intention were (in order of relevance) initial trust, performance expectancy, social influence, and structural assurance. As one of the few attempts to examine public acceptance of DRT, it is expected that findings from this study could contribute to the literature by providing insights into potential users’ attitudes toward DRT. This study further offers guidance on designing interventions intended to promote a transition toward increased operational efficiency through policy developments for DRT, thereby achieving sustainable development.

Exploring Trust Modeling and Management Techniques in the Context of Distributed Wireless Networks: A Literature Review

Exploring Trust Modeling and Management Techniques in the Context of Distributed Wireless Networks: A Literature Review

Cross-domain management system of real estate sales information based on blockchain

In the existing real estate sales information management system, the efficiency of information cross-domain management is low, and the information security is poor. The whole architecture of real estate sales information system includes sales information collection module, intelligent contract execution module and real estate information encryption module. The discrete wavelet transform method is used to fuse similar data, and the intelligent contract is designed according to the data fusion results, and all sales information is encrypted. Then the trust model of blockchain certificate authorisation centre is designed, and the final result is verified with real estate sales information access cross-domain authentication and real estate sales information cross-domain management system design. The experimental results show that the safety factor of the system data designed in this paper can reach 0.99, and the system response delay is about 0.5 s.

Trust Evaluation and Decision Based on D-S Evidence Theory: Early Models and Future Perspectives

Due to the technical characteristics and application scenarios of distributed networks, their nodes can easily be invaded and compromised. It will result in information being forged or tampered without difficulty. An effective scheme to guarantee the authenticity and integrity of information is judging how trustworthy nodes are in terms of transmission. In D-S evidence theory (DST), the uncertainty can be expressed to solve the trust fusion issue for multiple nodes. In this paper, for reviewing the DST-based trust evaluation and decision and providing their future research directions systematically. Meanwhile, the DST is briefly reviewed, and two improvements in DST are categorically described. The role and mechanism in DST-based trust models are compared and analyzed. The valuable research directions in the near future are represented. Our contributions could solve the trust problem in resource constrained sensor nodes and improve the decision reliability of network.

A Transaction Frequency Based Trust for E-Commerce

Most traditional trust computing models in E-commerce do not take the transaction frequency among participating entities into consideration, which makes it easy for one party of the transaction to obtain a high trust value in a short time, and brings many disadvantages, uncertainties and even attacks. To solve this problem, a transaction frequency based trust is proposed in this study. The proposed method is composed of two parts. The first part is built on the classic Bayes analysis based trust models which are ease of computing for the E-commerce system. The second part is the transaction frequency module which can mitigate the potential insecurity caused by one participating entity gaining trust in a short time. Simulations show that the proposed method can effectively mitigate the self-promoting attacks so as to maintain the function of E-commerce system.

A Distributed Attack-Resistant Trust Model for Automatic Modulation Classification

Recently, the performance of automatic modulation recognition (AMC) has been dramatically improved with the assistance of federated learning (FL). However, FL-based AMC still faces the issue of secure sharing of local model parameters, resulting in poor anti-attack capacity. Motivated by this, a Blockchain-federated learning (BFL) framework is proposed for AMC in this letter, where the AMC model is cooperatively trained by the sharing of local model parameters with Blockchain. In addition, a parameter validity evaluation method is designed therein for the aggregation process, which greatly weakens the influence of malicious nodes. On the basis of enriching training samples, the anti-attack ability of FL-based AMC schemes is significantly improved for proposed BFL framework. Simulation results show that the recognition accuracy of the proposed framework is increased by more than 10% when malicious nodes exist, on the premise of acceptable recognition accuracy.

Intelligent Trust based Security Framework for Internet of Things

Trust models have recently been proposed for Internet of Things (IoT) applications as a significant system of protection against external threats. This approach to IoT risk management is viable, trustworthy, and secure. At present, the trust security mechanism for immersion applications has not been specified for IoT systems. Several unfamiliar participants or machines share their resources through distributed systems to carry out a job or provide a service. One can have access to tools, network routes, connections, power processing, and storage space. This puts users of the IoT at much greater risk of, for example, anonymity, data leakage, and other safety violations. Trust measurement for new nodes has become crucial for unknown peer threats to be mitigated. Trust must be evaluated in the application sense using acceptable metrics based on the functional properties of nodes. The multifaceted confidence parameterization cannot be clarified explicitly by current stable models. In most current models, loss of confidence is inadequately modeled. Esteem ratings are frequently mis-weighted when previous confidence is taken into account, increasing the impact of harmful recommendations. 
 In this manuscript, a systematic method called Relationship History along with cumulative trust value (Distributed confidence management scheme model) has been proposed to evaluate interactive peers trust worthiness in a specific context. It includes estimating confidence decline, gathering & weighing trust parameters and calculating the cumulative trust value between nodes. Trust standards can rely on practical contextual resources, determining if a service provider is trustworthy or not and does it deliver effective service? The simulation results suggest that the proposed model outperforms other similar models in terms of security, routing and efficiency and further assesses its performance based on derived utility and trust precision, convergence, and longevity.

An empirical investigation into people’s intention to participate in mega events tourism: applying mixture of two behavioral theoretical models

The purpose of this research is to build and evaluate a theoretical model capable of forecasting public participation in mega events. This study predicts event tourism participation using a mixed behaviour model based on a trust model and a deliberate actions model. Using data from 261 local and international visitors, structural equation modelling was engaged to examine the study hypotheses. According to the study's results, observed benefits were positively connected with people’s perspective, but observed obstacles were negatively associated, and observed benefits had a positive influence on interactive mechanism and observed obstacles had a negative influence on interactive mechanism. Additionally, the study's results suggested that individuals' intention to participate in mega events was positively influenced by their observed benefits, perspective, interactive mechanism, and normative beliefs and negatively influenced by observed obstacles. Finally, we perceived that observed risk significantly moderated the associations between observed benefits, observed obstacles and perspective, observed benefits, observed obstacles and interactive, lastly, observed benefits, observed obstacles, perspective, interactive mechanism, normative beliefs and intention to participate in events. The research's outcomes have significant hypothetical and applied effects for mega-events travel.

Trust in institutions and public acceptability of risky energy production: Testing the causal relationships in the context of Groningen earthquakes

Public acceptability of energy production does not only depend on people's opinions of energy projects but also on whether people trust those who are in charge of regulating them. Indeed, research shows that trust in regulating institutions is positively related to public acceptability of energy production, and more generally, to public acceptability hazard-prone activities. Most evidence for this relationship, however, stems from correlational and cross-sectional studies and therefore causal inferences regarding its directionality cannot be made. That is, is not clear whether trust is an antecedent of public acceptability (the causal model of trust) or whether trust is rather a consequence of it (the associationist model of trust). In this study, we aimed to fill this gap by studying longitudinally the association between trust in two relevant regulating institutions associated with energy production in the Netherlands and public acceptability of natural gas extraction. Overall, results provided (partial) support to the causal model of trust –that is, trust in one of studied regulating institutions influenced subsequent acceptability ratings in 2 (out of 5) measurement waves. Further, both trust and public acceptability tended to be stable over time. Results are discussed in relation to the literature on trust in institutions and its effects on the acceptability of hazard-prone activities.

An efficient trust inference model in online social networks using fuzzy petri nets

SummarySharing and exchanging of information among the group of users is the objective of social networks. With the growing popularity of the internet applications, many of the interactions are among the unknown users. Estimation of the user trustworthiness prior to conversation with him can increase the confidence level of a person in taking right decisions. Facebook, Twitter, LinkedIn, Instagram and Google+ are some of the most popular social networks, where the similar kinds of users share their messages and photos. In this article, the proposed method “Trust Inference Model in Online Social Networks Using Fuzzy Petri Nets (TMFPN)” computes the user trust value through two phases, that is, direct and indirect using twitter user data set. The direct trust of a user is evaluated based on his social activities like (follower count, listed count, mentions received, re tweets received, and posts) using fuzzy inference model. For the users those are not in direct interaction, indirect trust is computed. Proposed method‐TMFPN gathers network information through trust propagation and models the social network as a fuzzy petri net. Where users and interactions are considered as places and transitions, respectively. Here the concurrent reasoning algorithm (CRA) is applied over the converted FPN, for the selection of reliable trustworthy paths between two users at multiple hops distance. Performance of the proposed method is verified theoretically and practically. In the experiment results, performance of TMFPN is compared with existing trust computing methods in computation of indirect trust of multihop away users.

SLA-based Multi-dimensional Trust Model for Fog Computing Environments

SLA-based Multi-dimensional Trust Model for Fog Computing Environments