A Model for User Trust in Cloud Computing

Ahmad, Robiah; Movahhedinia, Naser

doi:10.5121/ijccsa.2012.2201

Cited by 22 publications

(21 citation statements)

References 6 publications

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“…Accountability [46] and trust are concepts required to be realized before potential CCs embrace cloud computing approach. Therefore, "trust" with cloud computing perspective has attracted researchers recently [45,49], and "trust as a service" is introduced to the cloud business model. Standardised trust models are needed for verification and assurance of accountability, but none of the large number of existing trust models to date is adequate for the cloud environment [34].…”

Section: Related Work and Definitionsmentioning

confidence: 99%

“…The authors in [49] statistically analyze the results of a questionnaire answered by 72 CCs to investigate the perception of the CCs on the importance of the parameters above. According to this analysis, backup and recovery produces the strongest impact on a CC's trust in cloud computing followed by availability, privileged CC access, regulatory compliance, long-term viability and data location.…”

Section: Related Work and Definitionsmentioning

confidence: 99%

“…Their survey showed that data segregation and investigation have weak impact on a CC's trust on cloud computing. In [33], the Authors propose giving controls to CCs, so they can monitor the parameters explained above [49]. They categorize these controls into five broad classes as controls on data stored, data during processing, software, regulatory compliance and billing.…”

Section: Related Work and Definitionsmentioning

confidence: 99%

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Modelling trust and risk for cloud services

Çayırcı

Oliveira²

2018

J Cloud Comp

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A joint trust and risk model is introduced for federated cloud services. The model is based on cloud service providers' performance history. It addresses provider and consumer concerns by relying on trusted third parties to collect soft and hard trust data elements, allowing for continuous risk monitoring in the cloud. The negative and positive tendencies in performance are differentiated and the freshness of the historic data is considered in the model. It addresses aleatory uncertainty through probability distributions and static stochastic simulation. An analytical insight into the model is also provided through the numerical analysis by Monte-Carlo simulation.

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Section: Related Work and Definitionsmentioning

confidence: 99%

Section: Related Work and Definitionsmentioning

confidence: 99%

Section: Related Work and Definitionsmentioning

confidence: 99%

See 1 more Smart Citation

Modelling trust and risk for cloud services

Çayırcı

Oliveira²

2018

J Cloud Comp

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“…For instance, the focus of [14] [15] [16] is to analyze various factors (e.g., accountability, compromise servers, recovery, malicious insiders, data location, investigation, data segregation, availability, long-term viability, regulatory compliance, backup and recovery as well as privileged user access), which may affect the cloud user to trust the cloud. To evaluate the trustworthiness of the cloud resources, a cloud resource trustworthiness evaluation framework is proposed in [17], which utilizes an amor to constantly monitor and assess the cloud environment as well as check the resources the armor protects.…”

Section: Related Workmentioning

confidence: 99%

A trust and reputation management system for cloud and sensor networks integration

Zhu

Nicanfar

Leung

et al. 2014

2014 IEEE International Conference on Communications (ICC)

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By incorporating the advantages of cloud computing (CC) and wireless sensor networks (WSNs), the integration of CC and WSNs attracts a lot of attention from both academia and industry. However, trust and reputation management for CC and WSNs integration is a critical and barely explored issue, which could strongly prevent the cloud service users (CSUs) from choosing the desirable cloud service providers (CSPs) or hinder the CSP from selecting appropriate sensor network providers (SNPs). To fill the gap, this paper proposes a novel trust and reputation management system for CC and WSNs integration. Considering the attribute requirement of CSU and CSP as well as the cost, trust and reputation of the service of CSP and SNP, the proposed system achieves the following two goals: 1) calculate and manage the trust and reputation regarding the service of CSP and SNP; 2) help CSU choose CSP and assist CSP in choosing SNP. Evaluation results are also shown to verify effectiveness of the proposed system.

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“…The idea of security refers to a particular circumstance where every conceivable danger is destroyed or reduced to an absolute minimum (Zissis et al, 2012). Rashidi (2012) describes the security of the cloud computing model and presumes that confidence is the main interest of the user.…”

Section: Trustmentioning

confidence: 99%

Big Data Services Security and Security Challenges in Cloud Environment

Alsufyani

Jama

Yao³

et al. 2016

Proceedings of the International Conference on Internet of Things and Big Data

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Abstract:This paper explores security issues of storage in the cloud and the methodologies that can be used to improve the security level. This study is concluded with a discussion of current problems and the future direction of cloud computing. Big data analysis can also be classified into memory level analysis, business intelligence (BI) level analysis, and massive level analysis. This research paper is based on cloud computing security and data storage issues that organizations face when they upload their data to the cloud in order to share it with their customers. Most of these issues are acknowledged in this paper, and there is also discussion of the various perspectives on cloud computing issues.

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A Model for User Trust in Cloud Computing

Abstract: Abstract

Cited by 22 publications

References 6 publications

Modelling trust and risk for cloud services

Modelling trust and risk for cloud services

A trust and reputation management system for cloud and sensor networks integration

Big Data Services Security and Security Challenges in Cloud Environment

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