Trust Management Research Articles

A fuzzy trust management mechanism with dynamic behavior monitoring for wireless sensor networks

A fuzzy trust management mechanism with dynamic behavior monitoring for wireless sensor networks

Evaluating Trust Management Frameworks for Wireless Sensor Networks.

Wireless Sensor Networks (WSNs) are crucial in various fields including Health Care Monitoring, Battlefield Surveillance, and Smart Agriculture. However, WSNs are susceptible to malicious attacks due to the massive quantity of sensors within them. Hence, there is a demand for a trust evaluation framework within WSNs to function as a secure system, to identify and isolate malicious or faulty sensor nodes. This information can be leveraged by neighboring nodes, to prevent collaboration in tasks like data aggregation and forwarding. While numerous trust frameworks have been suggested in the literature to assess trust scores and examine the reliability of sensors through direct and indirect communications, implementing these trust evaluation criteria is challenging due to the intricate nature of the trust evaluation process and the limited availability of datasets. This research conducts a novel comparative analysis of three trust management models: "Lightweight Trust Management based on Bayesian and Entropy (LTMBE)", "Beta-based Trust and Reputation Evaluation System (BTRES)", and "Lightweight and Dependable Trust System (LDTS)". To assess the practicality of these trust management models, we compare and examine their performance in multiple scenarios. Additionally, we assess and compare how well the trust management approaches perform in response to two significant cyber-attacks. Based on the experimental comparative analysis, it can be inferred that the LTMBE model is optimal for WSN applications emphasizing high energy efficiency, while the BTRES model is most suitable for WSN applications prioritizing critical security measures. The conducted empirical comparative analysis can act as a benchmark for upcoming research on trust evaluation frameworks for WSNs.

Protected area influence over resident attitudes towards tourism in gateway communities

While there has been extensive research on resident sentiment towards tourism, few have explored the uniqueness of gateway communities and their relationship to the Protected Areas (PA) surrounding them. This study explores how resident trust of PA managers and support for PAs surrounding their community can spillover to explain additional variance in resident support or opposition to tourism. To test this, traditional antecedents to resident support for tourism, like psychological, social, and political empowerment and the economic benefits from tourism, were modeled independently and in tandem with trust in PA managers and resident support for PAAs. Results from 405 residents of Transylvania County, NC, USA show trust of Pisgah National Forest managers (β = 0.137, p = 0.001) and resident support for the PA influence their support for tourism (β = 0.257, p = 0.001) and explain an additional six percentage points in why residents support tourism within their gateway communities when included in the model. These findings suggest that when evaluating gateway communities’ support for tourism, it is prudent to also include resident perspectives of PAs and how they are managed as resident perspectives of the PA and its management can spillover to their attitudes towards tourism.

Flood Risk Perception and Government’s Role in Implementing Regulations

This study investigates the relationship between public perceptions of flood risk, participation in government action, satisfaction with government efforts, knowledge of flood prevention, and institutional trust in Freetown, Sierra Leone. Employing a quantitative approach, the research utilizes structural equation modeling to analyze the relationships among these variables across six disaster-prone communities in Freetown from 2017 to 2022. Data were collected from 1,500 respondents using STATSL2020 questionnaire, covering flood risk perception, public participation, satisfaction with government actions, flood knowledge, and institutional trust. The analysis reveals that higher public participation and institutional trust correlate with lower perceived flood risks, while a greater perception of flood risk negatively affects views on government efforts. Furthermore, the findings indicate that knowledge and trust influence the impact of public engagement on satisfaction with government actions, with demographic variables such as gender, age, income, and education playing a role in these relationships. This study empirically demonstrates the relationship between institutional trust and public participation in flood risk perception, highlighting the importance of clear communication and participatory strategies in building trust and satisfaction in government flood risk management. The research underscores the significance of involving communities in disaster prevention efforts and the need for transparent communication to enhance public trust and satisfaction with government regulations for flood disaster prevention.

"OʻZBEKISTONDA RAQAMLI MEROS VA UNING HUQUQIY MUAMMOLARI"

"In this article, the issues of digitization of the legal system related to heritage in Uzbekistan today, the legal regulations governing them and their classification, legal conflicts related to cryptocurrencies, digital properties and this heritage, access barriers for digital documents and passwords, social media, and Web 2.0 problems of account inheritance are studied. Also, collection, storage, processing, distribution and use of information about the personal life of an individual, telephone conversations, mail, telegraph and other messages without his consent, as well as recommendations related to the protection of information related to the violation of legal documents, digital rights in inheritance relations, specific legal proposals and recommendations related to the role and importance of digital property and digital inheritance as an object of inheritance law, recommendations related to the regulation of norms clearly defining the ratio of legal force of will and inheritance, to digital properties (cryptocurrency, tokens, cryptoassets) as the subject of a will in inheritance relations. It consists of proposals and recommendations related to its specific features, issues of responsibility related to heritage objects in trust management, digital control in trust management, and practical suggestions regarding the prospects of the development of trust management in Uzbekistan. "

Enhancing Logistics Performance through Increased Trust and Collaboration in Supply Chain Risk Management: A Focus on the Distribution Network of Manufacturing Companies

This study aims to explore the significance of trust among companies within the supply chain and investigate its effect on collaborative supply chain risk management. In the current uncertain business environment, it is crucial for companies to establish trust relationships with their trading partners and collaboratively manage risks. This research seeks to understand how such trust relationships influence collaborative risk management and, subsequently, the effect of risk management collaboration on logistics performance. This study surveyed manufacturing companies in the Korean supply chain, and data were analyzed using SPSS 23.0 and AMOS 23.0. The results of this study imply that cognitive trust, related to the partner’s expertise and capabilities, is more crucial than emotion-based affective trust in fostering collaborative supply chain risk management among companies within the supply chain, especially in the current unpredictable and complex business environments. Given the supply chain disruptions caused by uncertainties in the business environment, it is imperative to effectively manage risks and restructure the disrupted supply chain. Therefore, companies need to strive to demonstrate their expertise and capabilities to build cognitive trust and enhance logistics performance through supply chain risk management collaboration.

A blockchain-based credibility evaluation scheme for navigational event dissemination in the internet of ships

This paper proposes a blockchain-based credibility evaluation for navigational event dissemination, which constitutes a significant functionality for the ship trust management over Internet of Ships (IoS). This enables evaluating and calculating the credibility of the navigational events announced by other ships during their navigation. The presented scheme verifies the credibility of navigational events by introducing cooperative ratings from the involved ships. Bayesian inference models are utilized as the basic estimation about the authenticity of the event, upon which the Hidden Markov Model (HMM) is leveraged to update the reputation of the relevant ships from their current reputation and the ratings they comment about the event. In addition, a Delegated Proof of Stake (DPoS) consensus mechanism based on the reputation of the ship, called R-DPoS, is designed to prioritize ships with higher trustworthiness values to be elected as witness ships, to maintain the stability and efficiency of block generation in the system. In order to validate the feasibility and effectiveness of the proposed scheme, a series of simulation experiments are conducted. The experimental results show that the proposed scheme has an accuracy of more than 80 % for navigational events in most cases, which not only effectively recognize the credibility of navigational events and update the trustworthiness value of the relevant ships, but also suppress the malicious cyber behavior of ships, enhancing the security and stability of the cyberspace of the IoS.

Cyber security analysis of connected vehicles

AbstractThe sensor‐enabled in‐vehicle communication and infrastructure‐centric vehicle‐to‐everything (V2X) communications have significantly contributed to the spark in the amount of data exchange in the connected and autonomous vehicles (CAV) environment. The growing vehicular communications pose a potential cyber security risk considering online vehicle hijacking. Therefore, there is a critical need to prioritize the cyber security issues in the CAV research theme. In this context, this paper presents a cyber security analysis of connected vehicle traffic environments (CyACV). Specifically, potential cyber security attacks in CAV are critically investigated and validated via experimental data sets. Trust in V2X communication for connected vehicles is explored in detail focusing on trust computation and trust management approaches and related challenges. A wide range of trust‐based cyber security solutions for CAV have been critically investigated considering their strengths and weaknesses. Open research directions have been highlighted as potential new research themes in CAV cyber security area.

Provably secure data selective sharing scheme with cloud-based decentralized trust management systems

AbstractThe smart collection and sharing of data is an important part of cloud-based systems, since huge amounts of data are being created all the time. This feature allows users to distribute data to particular recipients, while also allowing data proprietors to selectively grant access to their data to users. Ensuring data security and privacy is a formidable task when selective data is acquired and exchanged. One potential issue that emerges is the risk that data may be transmitted by cloud servers to unauthorized users or individuals who have no interest in the particular data or user interests. The prior research lacks comprehensive solutions for balancing security, privacy, and usability in secure data selective sharing schemes inside Cloud-Based decentralized trust management systems. Motivating factors for settling this gap contain growing concerns concerning data privacy, the necessity for scalable and interoperable frameworks, and the increasing dependency on cloud services for data storage and sharing, which necessitates robust and user-friendly mechanisms for secure data management. An effective and obviously secure data selective sharing and acquisition mechanism for cloud-based systems is proposed in this work. We specifically start by important a common problematic related to the selective collection and distribution of data in cloud-based systems. To address these issues, this study proposes a Cloud-based Decentralized Trust Management System (DTMS)-connected Efficient, Provably Secure Data Selection Sharing Scheme (EPSDSS). The EPSDSS approach employs attribute-based encryption (ABE) and proxy re-encryption (PRE) to provide fine-grained access control over shared data. A decentralized trust management system provides participant dependability and accountability while mitigating the dangers of centralized trust models. The EPSDSS-PRE paradigm would allow data owners to regulate granular access while allowing users to customize data collection without disclosing their preferences. In our strategy, the EPSDSS recognizes shared data and generates short fingerprints for information that can elude detection before cloud storage. DTMS also computes user trustworthiness and improves user behaviour administration. Our research demonstrates that it’s able to deliver trustworthy and safe data sharing features in cloud-based environments, making it a viable option for enterprises seeking to protect sensitive data while maximizing collaboration and utilization of resources.

Fulfilling the promise of digital tools to build rangeland resilience

The world's rangelands and drylands are undergoing rapid change, and consequently are becoming more difficult to manage. Big data and digital technologies (digital tools) provide land managers with a means to understand and adaptively manage change. An assortment of tools—including standardized field ecosystem monitoring databases; web‐accessible maps of vegetation change, production forecasts, and climate risk; sensor networks and virtual fencing; mobile applications to collect and access a variety of data; and new models, interpretive tools, and tool libraries—together provide unprecedented opportunities to detect and direct rangeland change. Accessibility to and manager trust in and knowledge of these tools, however, have failed to keep pace with technological advances. Collaborative adaptive management that involves multiple stakeholders and scientists who learn from management actions is ideally suited to capitalize on an integrated suite of digital tools. Embedding science professionals and experienced technology users in social networks can enhance peer‐to‐peer learning about digital tools and fulfill their considerable promise.

Measuring Trust in Public Sector Organizations – Research Note

The study aims to develop and psychometrically test an instrument to assess trust in public sector organizations. Although trust-based management is of interest in many municipalities in the Nordic countries, an instrument to assess trust adapted for this context is lacking. The present study complies with Luhmann’s system theory and commonly used instruments in this tradition. Data from 240 first-line managers (RR 75%) and 1,871 employees (RR 47%) from all departments in one Swedish municipality were analyzed with a multi-level approach. Out of 16 initial items presented to first-line managers and employees, 8 were retained after the psychometrical testing in both samples. Factor loadings at both within and between levels, and the multilevel homology when exploring convergent and criterion-related validity, showed a similar pattern of two distinct factors. Similar to other previously developed instruments, Supervisory Trust was one dimension. The second construct Organizational Trust included items on trust in politicians and administrative specialists, in addition to trust in top-level managers. The Public Sector Organizational Trust Inventory can be recommended for use in future research on trust at individual as well as group levels.

Workplace bullying and employee silence: the role of affect-based trust and climate for conflict management

PurposeA workplace bullying dynamic involving multiple individuals targeting victims can lead to the victim losing emotional bonds or affect-based trust with their colleagues, resulting in employee silence. The literature has largely ignored this negative aspect of social dynamics. This study aims to examine the relationship between workplace bullying and employee silence behaviors and determine whether affect-based trust mediates this relationship and whether climate for conflict management moderates the mediated relationship.Design/methodology/approachHypotheses are tested using surveys and scenario-based experiments among faculty members in Indian Universities. There were 597 participants in the survey and 166 in the scenario-based experiment.FindingsResults revealed that workplace bullying correlated positively with silence behaviors, and affect-based trust mediated the bullying-silence relationship. The hypothesized moderated mediation condition was partially supported as moderated the mediating pathway, i.e. indirect effects of workplace bullying on defensive silence and ineffectual silence via affect-based trust were weaker for employees with high climate for conflict management. However, the study failed to support the moderation of climate for conflict management in the relationship between workplace bullying and affect-based trust and workplace bullying and relational silence. The results of this moderated effect of climate for conflict management were similar in both studies.Originality/valueThis study is one of the few attempts to examine employee silence in response to workplace bullying in academia. Additionally, the study revealed a critical area of trust depletion associated with bullying and the importance of employee perceptions of fairness toward their institutions’ dispute resolution processes.

Cooperative-centrality enabled investigations on edge-based trustworthy framework for cloud focused internet of things

Trustworthiness possesses numerous design challenges for the researchers and scientists in the global era of internet of things. The solution to deal with these challenges lies in trust management mechanisms (TMM). The integration of TMM on the Internet of things (IoT) adds a higher level of security and reliability for the resource utilization and management. On the other hand, the efficient and optimal implementation of TMM in IoT network requires significant efforts and innovations. In this paper, an innovative edge based trustworthy framework (EBTF) using novel cooperative centrality-based system (NCCBS) has been proposed and implemented for IoT networks. Trustworthiness has been computed using factors like direct trust, recommendation, global trust, and centralities. The NCCBS has been compared with existing mechanism namely: Distributive Reputation Management (DRM), Personalized Similarity Measure (PSM), and Reliable Trust Computation Mechanism (RTCM). The NCCBS outperformed the existing approaches with the adoption of dynamic weight computation scheme. The performance of IoT networks has been evaluated on parameters like recommendation weight, trust index, interaction success rate and malicious behaviour analysis. Simulations have been carried out to evaluate and validate the proposed NCCBS and it depicts optimal performance with reference to the existing schemes.

Efficient and Secure Communication in VANETS Using Block Chain

We have made great progress in resolving the crucial problem of location privacy in Vehicular Impromptus Networks (VANETs), an essential component of Intelligent Traffic Systems (ITS), using our innovative block chain-based trust management methodology. VANETs' high inherent mobility has long presented security issues, especially when it comes to using Location-Based Services (LBS). Our creative solution gives cars the ability to request LBS while protecting their personal data with a secure verification process. Vehicle privacy is protected via the creation of anonymous shrouding zones, and vehicle behaviour is controlled and governed by an advanced trust management algorithm. By using block chain technology, the system's data security is strengthened even more, resulting in a strong, impenetrable architecture. Thorough testing has proven the system's resilience against a range of assaults based on trust models, proving its efficacy in protecting vehicle privacy. The outcomes of our simulation demonstrate the practicality of our suggested method in actual VANET circumstances, pointing to the possibility of a new era in safe and private ITC systems.

Trust Enabled Cluster Aware Routing Protocol Design with Energy Considerations using Fuzzy Strategies

In this modern era, wireless communication technologies are getting high impact over network industries. Due to this drastic development of communication technologies, a network needs to be more precise with certain metric such as: energy consumption, throughput, trust management, performance and lifetime. These are all the primary concern while handling the transactions with wireless communication systems. In this paper, a new approach of network routing protocol is introduced, which will replace the issues found in existing routing protocols and provide good support while communication between entities. The proposed paper introduces a new routing protocol called Modified Adhoc On-Demand Distance Vector (MAODV), in which the classic AODV protocol supports mobile nodes with several impacts such as mobility, failure prevention, loss management and so on. However, the issues in industry still remains, so, that a new approach or routing protocol is required to overcome such issues. This is the concern to develop a new routing protocol for establishing communication between mobile nodes or wireless devices. The drastic development of communication devices requires some latest technologies to provide range free communication model with the assistance of internet support. A term, 'Internet of Things (IoT)', which rules the world now-a-days through its power of connectivity and establishing the bridge between communication devices around the globe without any range restrictions. In this paper, a cluster based routing strategy is designed with the help of fuzzy assistance. The cluster based routing protocols divides the range of communication into clusters and electing the cluster head based on the communication needs and provides a range free communication model with the hands of IoT support. This cluster based routing model provides support for both inter and intra-cluster communications, which all will be brief in further sections. The proposed model of wireless communication assures the following things such as Improved Energy Efficiency, reduced packet loss and delay, improved throughput ratio and lifetime over resulting scenario with the help of a new algorithm called Fuzzy Assisted Cluster enabled Routing Model (FACeRM) with the association of new routing protocol MAODV.

Examining the Influence of Artificial Intelligence Implementation in HRM Practices Using T-O-E Model

Given the swift progress of artificial intelligence in contemporary economies, HR managers are also adopting artificial intelligence tools to perform many HR tasks, from human resource planning to employee quitting. This research employs the TOE (Technology–Organization–Environment) model and incorporates the trust factor to propose a methodology for investigating artificial intelligence (AI) adoption in HRM. A structured questionnaire was used to survey 615 ITeS companies. Data analysis was performed using partial least squares structural equation modelling. The findings of this research indicate that factors such as cost-effectiveness, relative advantage, organization size, top management support, HR readiness, competitive pressure, vendor support, and the trust of HR managers are considered to have a positive impact on AI adoption in managing human resources. The utilization of AI in HRM has been cumbersome by conflicting results stemming from security and privacy concerns and the complexity of the technology involved. It is also found that factors such as reliability and credibility have a positive effect on the trust of HR managers. This article aims to provide valuable insights to senior executives, HR managers, experts, researchers, AI designers, developers, and marketers by strengthening their understanding of the impact of AI in managing human resources.

D2D Self Organization in IOT via Triple Modular Redundancy Based MDS Code

Device-to-Device (D2D) communication is a key enabling technology to replace base station-to-device(B2D) communication. D2D with IoT realization has spectral and energy-efficient features for on-time quality data transfer. However, the rapid growth of such networks and the dynamic quality of service demands of user equipment require robust and efficient service quality in disasters, outages, and adversarial conditions. To address this challenge, this paper proposes a triple modular redundancy based on the maximum distance separable (TMR-MDS) technique has been proposed, which modifies the repair bandwidth by utilizing more storage occupation and improving the D2D link availability in the system. The proposed TMR-MDS technique will be used, which is composed of two phases: trust management modules and triple modular redundancy storage modules. As part of the initial stage of trust management, a fuzzy logic model is employed to determine the user’s trust value after the user’s behaviour is examined. Second, using the majority voting scheme to improve triple modular redundancy storage. Furthermore, if any problem occurs in the node, then it will self-organize. MATLAB is used to evaluate the performance of the proposed system. The overall system performance is evaluated in terms of the network’s trust level, and the communication cost of the proposed strategy. As per the experimental results, the proposed TMR-MDS method has a better performance of 12.67%, 23.68%, and 25.87% than hierarchical bi-partite, double replication MDS, and unequal repairing locality code.

Trust as a key object of control in cognitive wars

The article is aimed at developing a systematic understanding of trust as an object of management when waging cognitive wars. The study is based on the hypothesis that with the growing complexity of identifying the truth of information against the backdrop of exponential growth in its volume, as well as the complexity of information technology, the most adequate countermeasure may be the trust of subjects of information interaction. The presence of such a hypothesis dictates the need to consider the phenomenon of trust as an object of management, as well as existing and promising mechanisms of influence on trust. The article structures the main factors influencing the formation of social trust and systematizes the idea of the types of objects of influence when waging a hybrid war. Based on the analysis of the results of research into the phenomenon of trust and the factors influencing it, a structural diagram of information management of trust is presented, where social trust is shown as the object of management, and informational and cultural aspects of the formation of trust are selected as regulating elements. The article also identifies groups of goals, objects and groups of indicators of negative information impact on trust factors, and proposes approaches to identifying the presence of such impact. The example shows that modern information technologies are an effective tool for influencing the level of trust between people, due to the intensive impact on the cognitive sphere of a person.

Laissez-faire leadership, trust in subordinates and problem-solving conflict management: A multigroup analysis across family and non-family businesses

Laissez faire leadership (LFL) has been linked to non-constructive approaches to conflict management, yet if and how LFL can explain the use of more constructive approaches (e.g., problem-solving) has not been studied. This is surprising given that trust in subordinates is characteristic of LFL, which is also key to cooperative relationships where the use of problem-solving is involved. Furthermore, compared to non-family businesses (NFBs), the socioemotional wealth that governs family businesses' (FBs) decision-making should make LFL, the trust placed in subordinates and the use of problem-solving more likely among the latter. In this study, we compare the use of LFL in FBs versus NFBs and analyze whether trust in subordinates lies behind a positive link between LFL and the use of this approach, and whether the distinctive socioemotional wealth of FBs accounts for differences in this relationship. Using a sample of 326 general managers of small and medium-sized enterprises (SMEs) in Ecuador, two complementary methods, partial least squares (PLS) and fuzzy-set qualitative comparative analysis (fs/QCA), yielded robust findings. As expected, differences in the strength of this relationship were found across FBs and NFBs, with LFL and both affective and cognitive trust being critical for the use of problem-solving in FBs but with cognitive trust playing this principal role in NFBs. Our findings link the largely separate FB literature on leadership and conflict management.

Enhancing Security and Privacy in Distributed Cloud Environments: A Review of Protocols and Mechanisms

As cloud computing becomes increasingly integral to data management and services, security and privacy concerns remain paramount. This article presents a comprehensive review of the current protocols and mechanisms designed to fortify security and privacy in distributed cloud environments. It synthesizes contributions from various research works, each proposing innovative solutions to address these challenges. Among these are a two-layer cryptographic algorithm that combines genetic techniques with logical-mathematical functions, enhancing encryption beyond traditional methods, and a novel symmetric-key block cipher that increases encryption complexity while maintaining flexibility. The paper also discusses machine learning applications for threat detection, the role of blockchain in trust management, and the importance of multi-cloud strategies to secure big data. Through comparative analyses, the reviewed methodologies show promising advancements in encryption, data integrity, and resource management, suggesting a robust framework for tackling the evolving landscape of cyber threats. The article underscores the need for continuous innovation and research to navigate the dynamic domain of cloud security, aiming for a future where data security and privacy are not just reactive safeguards but proactive measures embedded in the fabric of cloud computing.