Displaying publications 1 - 20 of 54 in total

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  1. Teo CH, Ng CJ, White A
    PLoS One, 2017;12(1):e0169435.
    PMID: 28060953 DOI: 10.1371/journal.pone.0169435
    There is a lack of mobile app which aims to improve health screening uptake developed for men. As part of the study to develop an effective mobile app to increase health screening uptake in men, we conducted a needs assessment to find out what do men want from a health screening mobile app. In-depth interviews and focus group discussions were conducted with 31 men from a banking institution in Kuala Lumpur. The participants were purposely sampled according to their job position, age, ethnicity and screening status. The recruitment was stopped once data saturation was achieved. The audio-recorded interviews were transcribed verbatim and analyzed using thematic approach. Three themes emerged from the analysis and they were: content, feature and dissemination. In terms of the content, men wanted the app to provide information regarding health screening and functions that can assess their health; which must be personalized to them and are trustable. The app must have user-friendly features in terms of information delivery, ease of use, attention allocation and social connectivity. For dissemination, men proposed that advertisements, recommendations by health professionals, providing incentive and integrating the app as into existing systems may help to increase the dissemination of the app. This study identified important factors that need to be considered when developing a mobile app to improve health screening uptake. Future studies on mobile app development should elicit users' preference and need in terms of its content, features and dissemination strategies to improve the acceptability and the chance of successful implementation.
    Matched MeSH terms: Trust
  2. Liu Y, Gan Y, Song Y, Liu J
    Sensors (Basel), 2021 Mar 13;21(6).
    PMID: 33805702 DOI: 10.3390/s21062037
    Contemporarily, almost all the global IT giants have aimed at the smart home industry and made an active strategic business layout. As the early-stage and entry-level product of the voice-enabled smart home industry, the smart speakers have been going through rapid development and rising fierce market competition globally in recent years. China, one of the most populous and largest markets in the world, has tremendous business potential in the smart home industry. The market sales of smart speakers in China have gone through rapid growth in the past three years. However, the market penetration rate of related smart home devices and equipment still stays extremely low and far from mass adoption. Moreover, the market sales of smart speakers have also entered a significant slowdown and adjustment period since 2020. Chinese consumers have moved from early impulsive consumption to a rational consumption phase about this early-stage smart home product. Trust in the marketing field is considered an indispensable component of all business transactions, which plays a crucial role in adopting new technologies. This study explores the influencing factors of Chinese users' perceived trust in the voice-enabled smart home systems, uses structural equation modeling (SEM) to analyze the interaction mechanism between different variables, and establishes a perceived trust model through 475 valid samples. The model includes six variables: system quality, familiarity, subjective norm, technology optimism, perceived enjoyment, and perceived trust. The result shows that system quality is the essential influence factor that impacts all other variables and could significantly affect the perceived trust. Perceived enjoyment is the most direct influence variable affected by system quality, subjective norm, and technology optimism, and it positively affects the perceived trust in the end. The subjective norm is one of the most distinguishing variables for Chinese users, since China has a collectivist consumption culture. People always expect their behavior to meet social expectations and standards to avoid criticism and acquire social integration. Therefore, policy guidance, authoritative opinions, and people with important reference roles will significantly affect consumers' perceived trust and purchase intention. Familiarity and technology optimism are important influential factors that will have an indirect impact on the perceived trust. The related results of this study can help designers, practitioners, and researchers of the smart home industry produce products and services with higher perceived trust to improve consumers' adoption and acceptance so that the market penetration rate of related products and enterprises could be increased, and the maturity and development of the voice-enabled smart home industry could be promoted.
    Matched MeSH terms: Trust
  3. Ng KH, Kemp R
    J Zhejiang Univ Sci B, 2020 9 8;21(9):752-754.
    PMID: 32893533 DOI: 10.1631/jzus.B2000228
    The world is now plagued by a pandemic of unprecedented nature caused by a novel, emerging, and still poorly understood infectious disease, coronavirus disease 2019 (COVID-19) (Wu and McGoogan, 2020). In addition to the rapidly growing body of scientific and medical literature that is being published, extensive public reports and stories in both the traditional media and social media have served to generate fear, panic, stigmatization, and instances of xenophobia (Zarocostas, 2020).
    Matched MeSH terms: Trust
  4. Ghazizadeh E, Zamani M, Ab Manan JL, Alizadeh M
    ScientificWorldJournal, 2014;2014:260187.
    PMID: 24701149 DOI: 10.1155/2014/260187
    Cloud computing is a new generation of technology which is designed to provide the commercial necessities, solve the IT management issues, and run the appropriate applications. Another entry on the list of cloud functions which has been handled internally is Identity Access Management (IAM). Companies encounter IAM as security challenges while adopting more technologies became apparent. Trust Multi-tenancy and trusted computing based on a Trusted Platform Module (TPM) are great technologies for solving the trust and security concerns in the cloud identity environment. Single sign-on (SSO) and OpenID have been released to solve security and privacy problems for cloud identity. This paper proposes the use of trusted computing, Federated Identity Management, and OpenID Web SSO to solve identity theft in the cloud. Besides, this proposed model has been simulated in .Net environment. Security analyzing, simulation, and BLP confidential model are three ways to evaluate and analyze our proposed model.
    Matched MeSH terms: Trust*
  5. Pagliaro S, Sacchi S, Pacilli MG, Brambilla M, Lionetti F, Bettache K, et al.
    PLoS One, 2021;16(3):e0248334.
    PMID: 33690672 DOI: 10.1371/journal.pone.0248334
    The worldwide spread of a new coronavirus (SARS-CoV-2) since December 2019 has posed a severe threat to individuals' well-being. While the world at large is waiting that the released vaccines immunize most citizens, public health experts suggest that, in the meantime, it is only through behavior change that the spread of COVID-19 can be controlled. Importantly, the required behaviors are aimed not only at safeguarding one's own health. Instead, individuals are asked to adapt their behaviors to protect the community at large. This raises the question of which social concerns and moral principles make people willing to do so. We considered in 23 countries (N = 6948) individuals' willingness to engage in prescribed and discretionary behaviors, as well as country-level and individual-level factors that might drive such behavioral intentions. Results from multilevel multiple regressions, with country as the nesting variable, showed that publicized number of infections were not significantly related to individual intentions to comply with the prescribed measures and intentions to engage in discretionary prosocial behaviors. Instead, psychological differences in terms of trust in government, citizens, and in particular toward science predicted individuals' behavioral intentions across countries. The more people endorsed moral principles of fairness and care (vs. loyalty and authority), the more they were inclined to report trust in science, which, in turn, statistically predicted prescribed and discretionary behavioral intentions. Results have implications for the type of intervention and public communication strategies that should be most effective to induce the behavioral changes that are needed to control the COVID-19 outbreak.
    Matched MeSH terms: Trust/psychology*
  6. Flecia K, Mohd FA
    Med J Malaysia, 2023 May;78(3):329-335.
    PMID: 37271842
    INTRODUCTION: A patient's trust in their physician is associated with their self-reported health outcome. However, the relationship between trust in physician with therapeutic and health outcome has not been adequately explored. Therefore, this study aims to assess the level of trust in physician among type 2 diabetes mellitus patients and its association with treatment adherence and glycaemic control.

    MATERIALS AND METHODS: A cross-sectional study was conducted in Luyang Health Clinic from 1st June 2020 to 3rd September 2020. A self-interviewed questionnaire comprises of three sections; sociodemographic, Wake Forest Physician Trust Scale (WFS) and Adherence to Refills and Medications Scale (ARMS) was completed by 281 respondents. Glycaemic control is based on the latest Hba1c profile of the respondents. Descriptive and nonparametric bivariate analysis were performed using IBM SPSS version 26.

    RESULTS: The median (IQR) level of trust in physician was 43(8) out of a possible score range of 10 to 50. Trust in physician was correlated with treatment adherence (r=-0.12, p=0.048). There was no significant association between trust in physician with sociodemographic factors, which include age (p=0.33), gender (p=0.46), ethnicity (p=0.70), education level (p=0.50), and household income (p=0.37). Similarly, there was no significant association between the level of trust in physician with glycaemic control (p=0.709).

    CONCLUSION: In conclusion, trust in physician was associated with treatment adherence but not with glycaemic control. In our local context, the glycaemic control could be due to other factors. Further studies should include a multicentre population to assess other potential factors that could contribute to glycaemic control.

    Matched MeSH terms: Trust
  7. Basit AA
    J Psychol, 2017 Nov 17;151(8):701-721.
    PMID: 29043913 DOI: 10.1080/00223980.2017.1372350
    In the social context of job engagement, the role of trust in supervisor in predicting engagement of employees has received attention in research. Very limited research, however, has investigated the mechanisms mediating this dynamic relationship. To address this important gap in knowledge, the aim of this study was to examine psychological safety and felt obligation as two psychological mechanisms mediating the effect of trust in supervisor on job engagement. Drawing from job engagement and social exchange theories, the mediating roles of psychological safety and felt obligation in the trust-engagement relationship were empirically investigated in the Malaysian context. Using self-report questionnaires, data were collected from 337 nurses employed in a public hospital located near Kuala Lumpur, Malaysia. Results fully supported the proposed serial multiple mediator model. Trust in supervisor was indirectly related to job engagement via psychological safety followed by felt obligation. This study provides empirical evidence that trust in supervisor makes employees feel psychologically safe to employ and express their selves in their job roles. This satisfaction of the psychological safety need is interpreted by employees as an important socioemotional benefit that, in turn, makes them feel obligated to pay back to their organization through their enhanced level of job engagement. Implications for theory and practice were discussed.
    Matched MeSH terms: Trust*
  8. Krajewska-Kułak E, Kułak W, Cybulski M, Kowalczuk K, Guzowski A, Łukaszuk C, et al.
    Mater Sociomed, 2019 Mar;31(1):57-61.
    PMID: 31213958 DOI: 10.5455/msm.2019.31.57-61
    Introduction: Nursing care is one of the most important areas of health services, taking place in direct contact with the patient, constituting a subsystem deciding about the general level of services.

    Aim: The aim of the study was to construct the Trust in Nurse Scale on the basis of the standardized Trust in Physician Scale by Anderson and Dedrick.

    Methods: The study included a group of 1,200 people selected at random, 600 each from surgical and medical treatment wards. Patients did not report any problems with understanding the statements on the scale.

    Results: The internal accuracy scores were excellent, all Cronbach's a values were well above 0.70. The Spearman's rank correlation coefficient values were highly statistically significant (p <0.001), and correlation strength was very high (for most items rs > 0.90).

    Conclusion: We suggest that The Trust in Nurse Scale, developed on the basis of the standardized Trust in Physician Scale by Anderson and Dedrick, can be used in studies on patient satisfaction with nursing care.

    Matched MeSH terms: Trust
  9. Wong LP, Wu Q, Hao Y, Chen X, Chen Z, Alias H, et al.
    Int Health, 2021 May 04.
    PMID: 33945613 DOI: 10.1093/inthealth/ihab023
    BACKGROUND: We aimed to investigate the association between institution trust and public responses to the coronavirus disease 2019 (COVID-19) outbreak.

    METHODS: An Internet-based, cross-sectional survey was administered on 29 January 2020. A total of 4393 adults ≥18 y of age and residing or working in the province of Hubei, central China were included in the study.

    RESULTS: The majority of the participants expressed a great degree of trust in the information and preventive instructions provided by the central government compared with the local government. Being under quarantine (adjusted odds ratio [OR] 2.35 [95% confidence interval {CI} 1.80 to 3.08]) and having a high institutional trust score (OR 2.23 [95% CI 1.96 to 2.53]) were both strong and significant determinants of higher preventive practices scores. The majority of study participants (n=3640 [85.7%]) reported that they would seek hospital treatment if they suspected themselves to have been infected with COVID-19. Few of the participants from Wuhan (n=475 [16.6%]) and those participants who were under quarantine (n=550 [13.8%]) expressed an unwillingness to seek hospital treatment.

    CONCLUSIONS: Institutional trust is an important factor influencing adequate preventive behaviour and seeking formal medical care during an outbreak.

    Matched MeSH terms: Trust
  10. Rafizah Musa, Mohamad Syazli Fathib
    MyJurnal
    Industries in Malaysia are entering a period of major disruption caused by new technologies such as Artificial Intelligent, Robotics, Blockchain, Nanotechnology as well as Building Information Modelling (BIM) and the Internet of Things (IoT). In this fourth industrial revolution where information is generated and exchanged at a rapid and huge scale, its reliability is of paramount importance. The success of Occupational Safety & Health Management System (OSHMS) is highly dependent on the reliability of the information gathered and used, where a large number of intermediaries authenticate the information to establish trust between the stakeholders. Blockchain technology is able to do verification by virtue of secured distributed storage brings about a paradigm shift in the way we establish trust. This paper gives an overview of the potential use of Blockchain technology for Occupational Safety & Health Management System. The discussions focused on the benefits and challenges of implementing the Blockchain technology in OSHMS. The conclusion is drawn based on the strength in the characteristics provided by the Blockchain technology itself.
    Matched MeSH terms: Trust
  11. Lai KP, Chong SC
    J Health Organ Manag, 2020 Feb 12;ahead-of-print(ahead-of-print).
    PMID: 32064822 DOI: 10.1108/JHOM-07-2019-0215
    PURPOSE: Based on the stimuli-organism-response (SOR) model and relationship marketing theory, the paper aims to examine whether servicescape influences trust, service credibility and affective commitment amongst older adults, and their effects on the intention to recover in a rehabilitation setting.

    DESIGN/METHODOLOGY/APPROACH: The study takes a quantitative approach, applying confirmatory factor analysis and structural equation model to examine the responses. A total of 400 data were collected using questionnaires distributed to older adults in Malaysia. Respondents were selected based on two criteria: they should be over 65 years, and they should have been visiting the rehabilitation centres in the last 12 months.

    FINDINGS: The results suggest that trust and affective commitment play significant roles in increasing the intention of older adults to recover. Contradicting previous research findings, service credibility does not have any significant impact on the intention to recover as hypothesised. The direct effect of service credibility on trust and affective commitment enhances the premise further that the relationship between service credibility and intention to recover is primarily indirect. Even though we expect servicescape to be a significant driver in forming the behaviour of older adults, its impact on intention to recover, trust and affective commitment remain non-significant, with the exception of service credibility.

    ORIGINALITY/VALUE: Past studies have focused on the roles of servicescape and service credibility separately. We have extended the literature by examining the combined effects of both servicescape and service credibility. The findings, therefore, contribute to a deeper understanding of the literature on the intention-behaviour relationship in the context of healthcare, as well as in service marketing.

    Matched MeSH terms: Trust*
  12. Gertrude C Ah Gang G, Stukas AA
    Jurnal Psikologi Malaysia, 2015;olume 29:20-31.
    Equity theory suggests that perceiving equity leads to better relationship outcomes than perceiving inequity. However, cultural and relationship differences in tolerance for inequity have been found, suggesting that those from more individualistic cultures may have less tolerance for inequity with friends than those from more collectivistic cultures, with the latter group discriminating more clearly in their reactions to friends and strangers. In our first study, Kadazandusun (N=282) and Australian (N=255) participants evaluated their actual reciprocity in social support with a close friend. In our second study, 103 South East Asians and 128 Australians were randomly assigned to respond to a scenario presenting equity or inequity (underbenefit or overbenefit) with either a close friend or stranger. Study 1 found that participants from both cultures reported reduced desires for future interaction, positive feelings and closeness when they experienced under-benefit as compared to over-benefit or equity. In Study 2, participants from both cultures also reported reduced desires for future interaction, positive feelings and trust when there was inequity and reported a more negative reaction to a stranger than a close friend. These findings are consistent with equity theory and support its cross-cultural applicability.
    Matched MeSH terms: Trust
  13. Abbasi GA, Tiew LY, Tang J, Goh YN, Thurasamy R
    PLoS One, 2021;16(3):e0247582.
    PMID: 33684120 DOI: 10.1371/journal.pone.0247582
    In recent years, the growth of cryptocurrency has undergone an enormous increase in cryptocurrency markets all around the world. Sadly, only insignificant heed has been paid to the unveiling of determinants of cryptocurrency adoption globally, particularly in emerging markets like Malaysia. The purpose of the study is to examine whether the application of deep learning-based dual-stage Partial Least Square-Structural Equation Modelling (PLS-SEM) & Artificial Neural Network (ANN) analysis enable better in-depth research results as compared to single-step PLS-SEM approach and to excavate factors which can predict behavioural intention to adopt cryptocurrency. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model were extended with the inclusion of trust and personnel innovativeness. The model was further validated by introducing a new path model compared to the original UTAUT2 model and the moderating role of personal innovativeness between performance expectancy and price value, with a sample of 314 respondents. Contrary to previous technology adoption studies that used PLS-SEM & ANN as single-stage analysis, this study further enhanced the analysis by applying a deep learning-based dual-stage PLS-SEM and ANN method. The application of deep learning-based dual-stage PLS-SEM & ANN analysis is a novel methodological approach, detecting both linear and non-linear associations among constructs. At the same time, it is regarded as a superior statistical approach as compared to traditional hybrid shallow SEM & ANN single-stage analysis. Also, sensitivity analysis provides normalised importance using multi-layer perceptron with the feed-forward-back-propagation algorithm. Furthermore, the deep learning-based dual-stage PLS-SEM & ANN revealed that trust proved to be the strongest predictor in driving user intention. The introduction of this new methodology and the theoretical contribution opens the vistas of the extant body of knowledge in technology-adoption related literature. This study also provides theoretical, practical and methodological contributions.
    Matched MeSH terms: Trust
  14. Barton B
    Asia Eur J, 2021 Apr 27.
    PMID: 33935611 DOI: 10.1007/s10308-021-00606-6
    Security cooperation has increasingly come to prominence in the realm of relations between the European Union (EU) and China as a policy area primed for fostering deeper bilateral strategic convergence. Where leaders on both sides have talked up security cooperation particularly by pointing to recent successes (on counter-piracy, Iran), EU-China scholars have largely qualified these as exceptions to the rule. The rule being that the gulf between Brussels and Beijing continues to be too wide on norms, geopolitics and trust for them to live up to their ambitious rhetoric on security cooperation. Taking this into consideration, this paper sets out to examine whether the Belt-and-Road Initiative (BRI) - given its magnitude and high stakes - can change the dynamics of bilateral security cooperation. Looking at this through the lens of three distinct theories applicable to the study of EU-China relations, it would appear that even bilateral security overlap pertaining to the BRI cannot reverse these deeply entrenched behavioural patterns.
    Matched MeSH terms: Trust
  15. Ashutosh, Kumar Singh, Billy, Pik Lik Lau, Terence, Peng Lian Tan
    MyJurnal
    In this paper, we introduce T-DepExp system to simulate the transitive dependence based coalition formation (CF). It is a multi-agent based simulation (MABS) tool that aims to enhance cooperation between agents through transitive dependence. Previously, the transitive dependence was introduced by An and his colleagues for expressing the indirect dependence between agents in their cooperation. However, it did not receive much attention. Although it has a few problems need to be addressed, we try to propose our own mechanism to increase the efficiency of the transitive dependence based CF. To simulate MAS dependence relationship, we have included two fundamental dependence relationships in this MABS tool, which are AND-Dependence and OR-Dependence. In addition, the architecture of the T-DepExp system is presented and discussed. It allows possible integration of other features such as budget mechanism and trust model. Subsequently, hypothesis for the experiments and experimental setup are explained. The overall system will be demonstrated for its functionality and the experimental results will also be discussed.
    Matched MeSH terms: Trust
  16. Rehman A, Hassan MF, Yew KH, Paputungan I, Tran DC
    PeerJ Comput Sci, 2020;6:e334.
    PMID: 33816982 DOI: 10.7717/peerj-cs.334
    In the near future, the Internet of Vehicles (IoV) is foreseen to become an inviolable part of smart cities. The integration of vehicular ad hoc networks (VANETs) into the IoV is being driven by the advent of the Internet of Things (IoT) and high-speed communication. However, both the technological and non-technical elements of IoV need to be standardized prior to deployment on the road. This study focuses on trust management (TM) in the IoV/VANETs/ITS (intelligent transport system). Trust has always been important in vehicular networks to ensure safety. A variety of techniques for TM and evaluation have been proposed over the years, yet few comprehensive studies that lay the foundation for the development of a "standard" for TM in IoV have been reported. The motivation behind this study is to examine all the TM models available for vehicular networks to bring together all the techniques from previous studies in this review. The study was carried out using a systematic method in which 31 papers out of 256 research publications were screened. An in-depth analysis of all the TM models was conducted and the strengths and weaknesses of each are highlighted. Considering that solutions based on AI are necessary to meet the requirements of a smart city, our second objective is to analyze the implications of incorporating an AI method based on "context awareness" in a vehicular network. It is evident from mobile ad hoc networks (MANETs) that there is potential for context awareness in ad hoc networks. The findings are expected to contribute significantly to the future formulation of IoVITS standards. In addition, gray areas and open questions for new research dimensions are highlighted.
    Matched MeSH terms: Trust
  17. Arham AF, Amin L, Mustapa MAC, Mahadi Z, Yaacob M, Ibrahim M
    PLoS Negl Trop Dis, 2021 Jun;15(6):e0009493.
    PMID: 34185785 DOI: 10.1371/journal.pntd.0009493
    Outdoor Residual Spraying (ORS) technique is a complementary preventive measure for dengue. The alarming number of dengue cases in Malaysia requires an alternative method to control dengue besides the traditional method such as fogging. However, the introduction of new technologies depends on social acceptance. Therefore, this study was important to determine the factors that influence stakeholders' attitudes towards the ORS and the moderating factor. A validated instrument was used to randomly interview 399 respondents representing two stakeholder groups which consist of scientists, and the public in Klang Valley, Malaysia. The findings revealed that the stakeholders claimed to have a high degree of religiosity, a high level of trust in the key players, perceived ORS as having high benefits, and displayed highly positive attitudes towards the ORS. The attitudes model towards the ORS model was developed using the SmartPLS software version. The perceived benefit was endorsed as the most important direct predictor of attitudes towards the ORS (ß = 0.618, P<0.001), followed by trust in the key players (ß = 0.151, P<0.001). It is also interesting to note that religiosity served as a moderator for the association between perceived benefit (ß = 0.075, P = 0.024) and perceived risk (ß = 0.114, P = 0.006) with attitudes towards the ORS. The identified predictor factors of stakeholders' attitudes toward the ORS and the moderating factor can serve as indicators for social acceptance of ORS in developing countries. These indicators can help the policymakers in decision making to implement this technique.
    Matched MeSH terms: Trust
  18. Low LL, Tong SF, Low WY
    Asia Pac J Public Health, 2016 Jan;28(1 Suppl):17S-25S.
    PMID: 26219560 DOI: 10.1177/1010539515596807
    This qualitative study aimed to explore the influence of social networks such as family members, friends, peers, and health care providers toward the help-seeking behaviour (HSB) of patients with type 2 diabetes mellitus in the public and private primary care settings. In-depth interviews of 12 patients, 9 family members, and 5 health care providers, as well as 3 focus groups among 13 health care providers were conducted. All interviews were audio-taped and transcribed verbatim for qualitative analysis. Social influences play a significant role in the help-seeking process; once diagnosed, patients source information from people around them to make decisions. This significant influence depends on the relationship between patients and social networks or the level of trust, support, and comforting feeling. Thus, the impacts on patients' help-seeking behavior are varied. However, the help-seeking process is not solely an individual's concern but a dynamic process interacting with the social networks within the health care system.
    Matched MeSH terms: Trust
  19. Aimi Nadia Mohd Yusof
    Medical Health Reviews, 2009;2009(2):5-16.
    MyJurnal
    No vaccination is available to provide doctors with the immunity from errors and mistakes. Humans make mistakes everyday and eventually doctors will make mistakes or errors during their practice. Therefore, knowing how to handle the mistakes is crucial in improving patient safety and management. Disclosure of errors can be argued to play a significant role in respecting the patients’ rights and interest. We need to know that in a doctor-patient relationship, trust and vulnerability exist. If errors occur and doctors try to keep patients away from the truth, patients may no longer maintain their trust and this could lead to a negative turn in the relationship. Moreover, if errors are disclosed, doctors then may face a legal and ethical dilemma on whether to apologize for the errors made. This issue of apology has created debates among health professionals and lawyers in searching for the best answer. Apology can be a powerful tool to reconcile relationships but at the same time can also be a tool of deception.
    Matched MeSH terms: Trust
  20. Khan AS, Balan K, Javed Y, Tarmizi S, Abdullah J
    Sensors (Basel), 2019 Nov 14;19(22).
    PMID: 31739437 DOI: 10.3390/s19224954
    Vehicular ad hoc networks (VANET) are also known as intelligent transportation systems. VANET ensures timely and accurate communications between vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) to improve road safety and enhance the efficiency of traffic flow. Due to its open wireless boundary and high mobility, VANET is vulnerable to malicious nodes that could gain access into the network and carry out serious medium access control (MAC) layer threats, such as denial of service (DoS) attacks, data modification attacks, impersonation attacks, Sybil attacks, and replay attacks. This could affect the network security and privacy, causing harm to the information exchange within the network by genuine nodes and increase fatal impacts on the road. Therefore, a novel secure trust-based architecture that utilizes blockchain technology has been proposed to increase security and privacy to mitigate the aforementioned MAC layer attacks. A series of experiment has been conducted using the Veins simulation tool to assess the performance of the proposed solution in the terms of packet delivery ratio (PDR), end-to-end delay, packet loss, transmission overhead, and computational cost.
    Matched MeSH terms: Trust
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