Applying a Consumer-centric Framework for Trust Assessment of Cloud Computing Service Providers

Balcao-Filho, Amandio; Ruiz, Narasha; Rosa, Ferrucio de Franco; Bonacin, Rodrigo; Jino, Mário

doi:10.1109/tsc.2021.3134125

Cited by 5 publications

(2 citation statements)

References 42 publications

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“…It is believed that a multi-dimensional assessment of cloud services is essential to achieve better insights into QoS and QoE. It can be observed that, except ours, only two more studies [17,24] use objective and subjective evidence for evaluating the trustworthiness of cloud services. Incorporating user feedback in trust computation provides insights into the service quality experienced by CSUs, but, at the same time, it also provides an opportunity to adversaries to exploit it to change (increase/decrease) the trust of CSPs.…”

Section: Discussionmentioning

confidence: 87%

“…The QoS evidence alone is not enough to assess the trustworthiness of cloud services, as it can be fabricated by the providers and necessitate employing user's QoE ratings in trust computation. Balcao et al [17] propose a trust assessment framework for cloud providers. This is an interesting work that employs multi-dimensional evidence about governance, transparency, information security, and QoS parameters to compute the trust.…”

Section: Background and Related Workmentioning

confidence: 99%

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A Multi-Dimensional and Multi-Factor Trust Computation Framework for Cloud Services

Junejo

Jokhio²,

Jan

2022

Electronics

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In this paper, we propose a novel trust computation framework (TCF) for cloud services. Trust is computed by taking into consideration multi-dimensional quality of service (QoS) evidence and user feedback. Feedback provides ample evidence regarding the quality of experience (QoE) of cloud service users. However, in some cases, users may behave maliciously and report false feedback. Users can carry out collusion and Sybil attacks to slander/self-promote cloud services. Trust computed in such cases could be misleading and inaccurate. Evaluating the credibility of user feedback can help in not only preventing the collusion and Sybil attacks but also remunerating the affected cloud services. Despite the advantages of credibility evaluation, very few studies take into consideration feedback credibility and multi-dimensional evaluation criteria. Considering the limitations of existing studies, we propose a new TCF in which trust is computed by aggregating multi-dimensional evidence from QoS and QoE. We have used multi-dimensional QoS attributes to compute the objective trust of cloud services. The QoS attributes are divided into three dimensions, i.e., node profile, average resource consumption, and performance. The node profile of a cloud service is attributed to CPU frequency, memory size, and hard disk capacity. The average resource consumption is quantified based on the current CPU utilisation rate, current memory utilisation rate, current hard disk utilisation rate, and energy consumption. Moreover, the performance of a cloud service is measured by the average response time and task success ratio. Besides that, the credibility of feedback is evaluated to prevent the malicious behaviour of cloud users. Our results demonstrate the effectiveness of our proposed TCF in computing accurate trust in cloud services.

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Section: Discussionmentioning

confidence: 87%

Section: Background and Related Workmentioning

confidence: 99%

A Multi-Dimensional and Multi-Factor Trust Computation Framework for Cloud Services

Junejo

Jokhio²,

Jan

2022

Electronics

View full text Add to dashboard Cite

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The impact of Fintech innovations on digital currency adoption: a blockchain-based study in India

Bhatnagr,

Rajesh,

Misra

2024

IJAIM

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Purpose The purpose of this study is to integrate customer value theory (CVT) and protection motivation theory (PMT) to understand the factors that have an impact on customer experience, e-trust and intention to recommend, which influence the adoption behaviour of digital currency users. Design/methodology/approach A purposive sampling technique was used, and data were gathered through an online survey of 414 respondents. The measurement and structural models were tested using partial least squares structural equation modelling to establish linkages between the constructs. Findings Functional, emotional and social values positively impact customer experience. Furthermore, perceived severity, perceived vulnerability, response efficacy and self-efficacy had a positive impact on e-trust. E-trust positively affects customer experience and intention to use the digital currency directly. The study demonstrated that perceived value and protection motivation factors play a significant role in influencing the use of digital currency. Practical implications For managers and policymakers interested in the Indian digital currency market, it is suggested that functional utility and emotional and social benefits can enhance user satisfaction. In an e-trust model, user education to increase risk and protection awareness, effectiveness of responses and self-efficacy are critical to building e-trust. Originality/value Building on CVT and PMT’s usage in the broader financial services domain, this research empirically confirms the significance of perceived value and protection motivation factors while adopting digital currency. It provides an extensive and multifaceted approach to comprehending customer involvement and trust in digital financial services, thus enhancing the theoretical and empirical knowledge of both the fintech and blockchain industries.

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Online customer experience in Indian digital banks impacting continuous intention usage: Generation Y and Z perspective

Bhatnagr,

Rajesh

2024

JFRA

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Purpose This study aims to conceptualise a customer-centric model based on an online customer experience (OCE) construct, mediated by e-loyalty (EL) and e-trust (ET), to improve the continuous usage intention (CUI) of Indian digital banks from Generation Y and Z perspectives. Design/methodology/approach This study used an online survey method to gather data from a sample of 466 digital banking users, from which usable questionnaires were obtained. The obtained data were subjected to thorough analysis using PLS-SEM to further study the research hypotheses. Findings The main factors that determine digital banks’ OCE are perceived enjoyment, e-service quality, information quality and e-convenience. Additionally, relevant constructs were evaluated using an importance-performance map analysis. Research limitations/implications This study used convenience sampling for the urban population using digital banking; therefore, the outcome may be generalised to a limited extent. It would be valuable to imitate studies in other countries to strengthen digital banking further. Originality/value There is a lack of research on digital banking and OCE in India; thus, this study helps rectify this issue while providing valuable insights. This study differs from others in that it examines the connections between OCE, EL, ET and the bottom line of financial institutions, using these factors as dependent variables instead of traditional measures.

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Applying a Consumer-centric Framework for Trust Assessment of Cloud Computing Service Providers

Cited by 5 publications

References 42 publications

A Multi-Dimensional and Multi-Factor Trust Computation Framework for Cloud Services

A Multi-Dimensional and Multi-Factor Trust Computation Framework for Cloud Services

The impact of Fintech innovations on digital currency adoption: a blockchain-based study in India

Online customer experience in Indian digital banks impacting continuous intention usage: Generation Y and Z perspective

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