A Review: Trust Management Techniques Used for Cloud Computing

PoojaGoyal,; Deora, Sukhvinder Singh

doi:10.1007/978-981-16-6289-8_12

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…Most of the models mentioned above only address trust from a cloud service provider and or user perspective. Moreover, most of these trust assessment models are based on feedback from previous exchanges that may be biased by malicious entities [13] aims to enhance the security of resources and services of an information system [15] [16]. Our strategy is based on the subdivision of our 3C into security zones as in [17].…”

Section: Introductionmentioning

confidence: 99%

Trust Assessment Model Based on a Zero Trust Strategy in a Community Cloud Environment

N’goran¹,

Tetchueng²,

Pandry³

et al. 2022

ENG

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The adoption of Cloud Computing services in everyday business life has grown rapidly in recent years due to the many benefits of this paradigm. The various collaboration tools offered by Cloud Computing have eliminated or reduced the notion of distance between entities of the same company or between different organizations. This has led to an increase in the need to share resources (data and services). Community Cloud environments have thus emerged to facilitate interactions between organizations with identical needs and with specific and high security requirements. However, establishing trust and secure resource sharing relationships is a major challenge in this type of complex and heterogeneous environment. This paper proposes a trust assessment model (SeComTrust) based on the Zero Trust cybersecurity strategy. First, the paper introduces a community cloud architecture subdivided into different security domains. Second, it presents a process for selecting a trusted organization for an exchange based on direct or recommended trust value and reputation. Finally, a system for promoting or relegating organizations in the different security domains is applied. Experimental results show that our model guarantees the scalability of a community cloud with a high success rate of secure and quality resource sharing.

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Section: Introductionmentioning

confidence: 99%

Trust Assessment Model Based on a Zero Trust Strategy in a Community Cloud Environment

N’goran¹,

Tetchueng²,

Pandry³

et al. 2022

ENG

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Aspects to determine the acceptance of cloud service: A study of cloud professionals

Goyal,

Singh Deora

2023

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)

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Trust Evaluation and Prioritization of Cloud Service Providers Using MADM Methods

Pawar¹,

Paulson²,

Badgujar³

et al. 2022

International Journal of Cloud Applications and Computing

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With the increasing market for cloud computing and the variety of Cloud Service Providers (CSPs) becoming available, making an appropriate choice of a CSP turns out to be challenging for the consumer. In order to cater to the user’s specific needs of quality, the services provided need to be user-centric. Trust plays an important role in the selection of cloud providers by users. This paper proposes CSP Trust evaluation, Prioritization and Recommendation System (CTPRS) for evaluating the trust of CSPs based on Quality of Service (QoS) parameters, and accordingly ranking and recommending them. MADM methods, namely ARAS, DEA, and GRA are used to evaluate trust by considering the user's preferences across multiple QoS parameters of CSPs. Comparative analysis of all three MADM methods is done using rank conformance, rank correlation, sensitivity, and computational complexity analysis. Experimental results demonstrate that GRA is superior to the other two methods. Thus, GRA is found to be the most suitable method and is therefore used for evaluating trust in CTPRS.

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A Review: Trust Management Techniques Used for Cloud Computing

Cited by 3 publications

References 22 publications

Trust Assessment Model Based on a Zero Trust Strategy in a Community Cloud Environment

Trust Assessment Model Based on a Zero Trust Strategy in a Community Cloud Environment

Aspects to determine the acceptance of cloud service: A study of cloud professionals

Trust Evaluation and Prioritization of Cloud Service Providers Using MADM Methods

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