Trust Model Research Articles

An efficient secure and energy resilient trust-based system for detection and mitigation of sybil attack detection (SAN).

In the modern digital market flooded by nearly endless cyber-security hazards, sophisticated IDS (intrusion detection systems) can become invaluable in defending against intricate security threats. Sybil-Free Metric-based routing protocol for low power and lossy network (RPL) Trustworthiness Scheme (SF-MRTS) captures the nature of the biggest threat to the routing protocol for low-power and lossy networks under the RPL module, known as the Sybil attack. Sybil attacks build a significant security challenge for RPL networks where an attacker can distort at least two hop paths and disrupt network processes. Using such a new way of calculating node reliability, we introduce a cutting-edge approach, evaluating parameters beyond routing metrics like energy conservation and actuality. SF-MRTS works precisely towards achieving a trusted network by introducing such trust metrics on secure paths. Therefore, this may be considered more likely to withstand the attacks because of these security improvements. The simulation function of SF-MRTS clearly shows its concordance with the security risk management features, which are also necessary for the network's performance and stability maintenance. These mechanisms are based on the principles of game theory, and they allocate attractions to the nodes that cooperate while imposing penalties on the nodes that do not. This will be the way to avoid damage to the network, and it will lead to collaboration between the nodes. SF-MRTS is a security technology for emerging industrial Internet of Things (IoT) network attacks. It effectively guaranteed reliability and improved the networks' resilience in different scenarios.

A comprehensive decision assessment for trust evaluation in wireless sensor networks

Objective: This study endeavors to tackle the pressing issue of network security within Wireless Sensor Networks (WSNs) through the introduction of an innovative integrated Pythagorean fuzzy-based method for evaluating network nodes. The primary aim is to enrich decision making frameworks within WSNs by furnishing a robust methodology for identifying and eradicating malevolent nodes. Methods: investigation employs an integrated Pythagorean fuzzy-based methodology to appraise network nodes by scrutinizing specific trust attributes. Comparative assessment with alternative contemporary Multiple Criteria Decision Making (MCDM) trust models is conducted to gauge the effectiveness of the proposed strategy. Results: The results underscore the efficacy of the integrated Pythagorean fuzzy-based approach in bolstering network security through the precise identification and elimination of malicious nodes. Comparative analysis with other MCDM trust models highlights the superiority of the proposed approach in evaluating network nodes based on trust attributes. Recommendations: In light of the findings, it is advised to integrate fuzzy decision analysis methodologies into decision making systems for WSNs to enhance network security. Additionally, future research endeavors could concentrate on refining and expanding upon the proposed methodology to effectively address emerging security challenges within WSNs.

Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications

Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications

Understanding Large-Scale Network Effects in Detecting Review Spammers

Opinion spam detection is a challenge for online review systems and social forum operators. Opinion spamming costs businesses and people money since it deceives customers as well as automated opinion mining and sentiment analysis systems by bestowing undeserved positive opinions on target firms and/or bestowing fake negative opinions on others. One popular detection approach is to model a review system as a network of users, products, and reviews, for example using review graph models. In this article, we study the effects of network scale on network-based review spammer detection models, specifically on the trust model and the SpammerRank model. We then evaluate both network models using two large publicly available review datasets, namely: the Amazon dataset (containing 6 million reviews by more than 2 million reviewers) and the UCSD dataset (containing over 82 million reviews by 21 million reviewers). It has been observed thatSpammerRank model provides a better scaling time for applications requiring reviewer indicators and in case of trust model distributions are flattening out indicating variance of reviews with respect to spamming. Detailed observations on the scaling effects of these models are reported in the result section.

Trust Model Considering Uncertainty and Dynamics in Cloud Computing

Trust Model Considering Uncertainty and Dynamics in Cloud Computing

Research on interaction and trust theory model for cockpit human-machine fusion intelligence.

Based on Boyd's "Observation Orientation-Decision-Action (OODA)" aerial combat theory and the principles of operational success, an analysis of the operational division patterns for cross-generational human-machine collaboration was conducted. The research proposed three stages in the development of aerial combat human-machine fusion intelligence: "Human-Machine Separation, Functional Coordination," "Human-Machine Trust, Task Coordination," and "Human-Machine Integration, Deep Fusion." Currently, the transition from the first stage to the second stage is underway, posing challenges primarily related to the lack of effective methods guiding experimental research on human-machine fusion interaction and trust. Building upon the principles of decision neuroscience and the theory of supply and demand relationships, the study analyzed the decision-making patterns of human-machine fusion intelligence under different states. By investigating the correlations among aerial combat mission demands, dynamic operational limits of human-machine tasks, and aerial combat mission performance, a theoretical model of human-machine fusion interaction and trust was proposed. This model revealed the mechanistic coupling of human-machine interactions in aerial tasks, aiming to optimize the decision-making processes of human-machine systems to enhance mission performance. It provides methodological support for the design and application of intelligent collaborative interaction modes in aviation equipment.

Blockchain-Based Trust and Authentication Model for Detecting and Isolating Malicious Nodes in Flying Ad Hoc Networks

Blockchain-Based Trust and Authentication Model for Detecting and Isolating Malicious Nodes in Flying Ad Hoc Networks

A Verifiable Discrete Trust Model (VDTM) Using Congruent Federated Learning (CFL) for Social Internet of Vehicles

A Verifiable Discrete Trust Model (VDTM) Using Congruent Federated Learning (CFL) for Social Internet of Vehicles

Citizens’ trust in Bangladesh Police: A cross-sectional survey on urban population

Abstract The study assessed the level of trust in police among urban citizens in Bangladesh and examined the associated factors. An online cross-sectional survey was conducted through mobile phones to collect data from 1,680 respondents using a structured questionnaire. A 9-item scale was developed and validated to measure citizens’ trust in police using procedural- and outcome-based trust models. The urban citizens had a relatively low level of trust in the police. Factors like trust in neighbourhoods, satisfaction with governmental law and order operation, believing positive media reports on police, and personal safety awareness were significantly positively associated with trust in police. In contrast, increasing crime in the residential areas, believing negative media reports on police, and senior citizens were significantly associated with low levels of trust in police. Bangladesh police should adopt pro-people practices with effective implementation of law and order to increase their trust.

Designing and Offering a Customer Trust Model in the Marketing Ecosystem Based on Blockchain Technology

Objective: The main purpose of the current research is to designing and presenting a model for building customer trust in the marketing ecosystem based on blockchain technology and based on the identification and introduction of trust-building elements and functions arising from blockchain technology in marketing actions. Methodology: In this study, by adopting a qualitative approach, the researcher seeks to identify the antecedents and consequences of building customer trust in the marketing ecosystem based on blockchain technology. In this regard, the required data were collected based on the opinions of experts in the field of digital marketing and advanced information technology and semi-structured interview tools and were analyzed based on thematic analysis method and the use of MaxQDA software. Findings: The analysis of the collected data in the research resulted in the extraction of 64 main themes with a frequency of 264 codes which after the final categories, these themes provided seven general antecedents and two general consequences of applying blockchain technology in order to build trust among customers of a marketing ecosystem. Conclusion: Therefore, in this context, it is possible to design a mechanism to paying commissions to agents and brokers in case of implementing this technology.

A hybrid malicious node detection approach based on fuzzy trust model and Bayesian belief in wireless sensor networks

A hybrid malicious node detection approach based on fuzzy trust model and Bayesian belief in wireless sensor networks

A Tri-Phases Message Oriented Trust Model in FANET

A Tri-Phases Message Oriented Trust Model in FANET

A Probabilistic Trust Model and Control Algorithm to Protect 6G Networks against Malicious Data Injection Attacks in Edge Computing Environments

A Probabilistic Trust Model and Control Algorithm to Protect 6G Networks against Malicious Data Injection Attacks in Edge Computing Environments

New Aggregators for Global Reputation on Bi-Lattice Based Trust Model

New Aggregators for Global Reputation on Bi-Lattice Based Trust Model

Trust Management in Cloud Computing Using Blockchain Technology: a taxonomy, review & future directions

Through visualization and resource integration, cloud computing has expanded its service its service area and offers a better user experience than the traditional platform, along with us business operation model bringing huge economic and social benefits. However, a large amount of evidence shows that cloud computing is facing with serious security and trust crises, and building a trust / enabled transaction environment has become its key factor. The traditional cloud trust model transparency and traceability trust evolution results cannot be fully recognized by all participants. Its unique features in operating rules and traceability of records ensure the integrity, undesirability and security of the transaction data. Therefore Blockchain is very suitable for constructing distributed and decentralized trust architecture. Based on a novel Cloud- Edge trust management framework and a double Blochkchain structure based cloud transaction model , it identifies the open challenges and gives direction for future research field.

A hybrid malicious node detection approach based on fuzzy trust model and Bayesian belief in wireless sensor networks

A hybrid malicious node detection approach based on fuzzy trust model and Bayesian belief in wireless sensor networks

A practical and UC-secure decentralized key management and authentication scheme based on blockchain for VNDN

In Vehicular Named Data Networking (VNDN), most of the existing key management mechanisms still rely on the hierarchical key trust model or the Public Key Infrastructure (PKI), in which the centralized certificate authority is used as a Trusted Third Party (TTP) to provide a signature for the user?s public key. Thus, the TTP becomes vulnerable to attacks and maybe there exists a singlepoint failure problem. In addition, the in-network caching in the VNDN may incur a threat to the system and make it is vulnerable to the DoS attack caused by Interest flooding aimed at the Content-Store. To tackle these security issues, we firstly propose an efficient decentralized key management solution based on blockchain for VNDN. Secondly, based on the proposed key management scheme, a lightweight mutual authentication scheme and a key agreement protocol for V2X are respectively proposed in this paper. Finally, we analyze the security attributes of our solutions in the Universally Composable (UC) framework. Our analysis results show that our novel schemes can meet the security requirements of our solutions. In addition, our experimental results show our new schemes have highly efficient, lower computation and communication costs than other related schemes.

A Study on Influencing Factors on Users’ Intention to Accept Open Banking: Moderating Effect of Financial Literacy

Purpose - This study aims to explore the factors affecting users’ intentions regarding open banking. It extends the Unified theory of Acceptance and Use of Technology (UTAUT) by integrating perceived risk, initial trust, and financial literacy into the conceptual models. Since the government allowed open API access to the accounts of fintech firms and commercial banks, open banking has expanded rapidly in Korea from 2019. Understanding the factors influencing users’ intention to use this new system is important, given that open baking is still in the development stage.
 Design/methodology - Conceptual models were adopted from relevant literature and a string of hypotheses were developed. This study analyzed a data set of 439 Korean survey respondents and applied the initial trust model and the united theory of acceptance and use of technology(UTAUT) model.
 Findings - The results of the study show that performance expectancy, effort expectancy, and initial trust are the three major factors stimulating the use of open banking, whereas risks negatively affect its adoption. Financial literacy played a moderating role between these factors and the intention to use open banking. There was a difference in the impact of social influence on open banking users due to the degree of financial understanding. In addition, the moderating effect was verified according to the age group, the frequency of open banking use, and the number of accounts owned to check whether there are differences according to the characteristics of each group.
 Originality/value - This study is significant because it uses the level of financial knowledge as a moderating variable in users’ adoption of open banks, and is the first to investigate whether differences in users’ levels of financial knowledge affect their intention to use financial innovation.

Implementation of a Trust-Based Framework for Substation Defense in the Smart Grid

The Smart Grid is a cyber-integrated power grid that manages electricity generation, transmission, and distribution to consumers and central to its functioning is the substation. However, integrating cyber-infrastructure into the substation has increased its attack surface. Notably, sophisticated attacks such as the PipeDream APT exploit multiple device protocols, such as Modbus, DNP3, and IEC61850. The substation’s constraints pose challenges for implementing security measures such as encryption and intrusion detection systems. To address this, we propose a comprehensive trust-based framework aimed at enhancing substation security. The framework comprises a trust model, a risk posture model, and a trust transferability model. The trust model detects protocol-based attacks on Intelligent Electronic Devices and SCADA HMI systems, while the risk posture model dynamically assesses the substation’s risk posture. The trust transferability model evaluates the feasibility of transferring and integrating a device and its trust capabilities into a different substation. The practical substation emulation involves a Docker-based testbed, employing a multi-agent architecture with a real-time Security Operations Center-influenced dashboard. Assessment involves testing against attacks guided by the MITRE ICS ATT&CK framework. Our framework displays resilience against diverse attacks, identifies malicious behavior, and rewards trustworthy devices.

An exploration of public key infrastructure applications across diverse domains: a comparative analysis

This article delves into the vital role of Public Key Infrastructure (PKI) in securing and authenticating communications across a multitude of fields. PKI has evolved from a mere technical concept into a cornerstone of secure digital communications, playing a central role in various domains such as web security, healthcare, finance, the Internet of Things (IoT), and government services. PKI employs cryptographic techniques and digital certificates to establish trust, ensure data integrity, and enable secure communications, thus acting as the backbone of digital security. In the wake of the digital revolution, the demand for reliable and robust security solutions has skyrocketed. The diversity and scale of modern digital platforms necessitate adaptable security solutions, a challenge which PKI tackles through its flexible implementation. Despite sharing core principles, the implementation of PKI demonstrates divergences influenced by factors such as scale, complexity, resource constraints, regulatory environments, and trust models. This article offers an extensive comparison of PKI's utilization across various domains, highlighting the commonalities and divergences. It explores how PKI is tailored to meet the unique requirements and challenges of each sector and discusses the certificate lifecycle management in varying contexts. Moreover, it provides an analysis of the current state of PKI applications and challenges, offering insights into the evolving landscape of threats and technologies. Not only does the article address the current state of PKI, but it also presents a forward-looking perspective on its potential future developments. As the digital landscape continues to evolve and expand, it is crucial to anticipate the emerging challenges and devise strategies for proactive adaptation. This article thus serves as a comprehensive resource for understanding the role and impact of PKI in the contemporary digital infrastructure. Ultimately, the article seeks to underline the importance of PKI and highlight the need for continued research and development in this area. As our reliance on digital communications and transactions continues to grow, the role of PKI in safeguarding these interactions becomes increasingly significant. This comprehensive review serves as a valuable resource for researchers, practitioners, and policymakers in understanding the diverse applications of PKI and its critical role in securing the digital world.