Trust Model for Measuring Security Strength of Cloud Computing Service

Shaikh, Rizwana; Sasikumar, M.

doi:10.1016/j.procs.2015.03.165

Cited by 87 publications

(34 citation statements)

References 12 publications

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“…Rizwana Shaikh et.al [3] proposed a trust model for measuring security strength of cloud computing service. This paper demonstrates the usage of parameters like confidentiality, authorization, authentication, data protection, isolation, virtualization, compliance for security.…”

Section: Related Workmentioning

confidence: 99%

A Generalized Trust Model for Computational Grids & Clouds

Kumar*,

Ramachandram,

Gyani

2019

IJITEE

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In the present era, world is moving very rapidly with internet for sharing of resources and services. There are many heterogeneous and complex applications to be executed within less time. The complex applications require lot of resources such as processing, storage, etc, for execution but due to the constrained resources available within a system, the applications may not execute perfectly. Grid Computing is the technology used to integrate various heterogeneous systems from different boundaries of the world to execute complex applications. This technology creates a virtual organization where huge set of systems are integrated to solve very complicated and critical problems. There are many people who are not able to set up a real organization with lot of infrastructure and other services for execution of applications. Cloud Computing is the technology which provides lot of services like software, hardware, networking and much more for less cost. This technology supports pay-as-you-go model in which the user will pay the amount only for the used services. The major problem is to trust Grid Service Providers, Grid Users, Cloud Service Providers and Cloud Users for doing the transactions, in their respective environment, as there are many systems from various domains participating in the transactions. This paper proposes a generalized Trust Model for Cloud/Grid Computing Environment (T-CGE) to establish very strong trust among the Cloud/Grid Service Providers and Cloud/Grid Users. This paper also demonstrates the reliability statistics by using Cronbach’s Alpha to show the relative consistency of data. ANOVA (Analysis of Variance) is used to show the variations among the service parameters of all service providers, and also variations among the service providers. The T-CGE trust model helps the end users to get better and consistent services from their application developers.

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Section: Related Workmentioning

confidence: 99%

A Generalized Trust Model for Computational Grids & Clouds

Kumar*,

Ramachandram,

Gyani

2019

IJITEE

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“…Security of the cloud platform is one of the key factors that affect a user's trust in the capability of a cloud service provider [18]. Delivering a secured cloud platform will not only build trust but will equally guarantee loyalty and trust from cloud users [15].…”

Section: Factors Affecting User's Trust In Cspmentioning

confidence: 99%

“…Finally, cloud service providers can build trust with their customers by providing a feedback mechanism through which the cloud service providers can receive user's complaints and comments. In a study, [18] developed a trust model that will entail collecting feedback from the users regarding the quality of services received. In the business of cloud hosting, "trust" is connected to security, confidentiality, and privacy [24].…”

Section: Factors Affecting User's Trust In Cspmentioning

confidence: 99%

Trust and Continuous Deployment of Cloud Computing: A Quantitative Analysis

Elebute¹

2018

JCSA

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In recent time, many studies have investigated the criteria that should guide a user when selecting a trustworthy cloud service provider. Similarly, factors influencing the user's decision to adopt cloud computing have been exhaustively discussed. However, it is still unclear if there is a correlation between a user's trust in the capability of a cloud provider and the user's decision to continuously deploy cloud computing. Using a multinomial logistic regression, this study analyzed responses from 176 information technology managers who were currently using cloud computing as at the time of the study. Results from the data analysis indicated a negative relationship between a user's trust in the capability of a cloud provider and the user's decision to continuously deploy cloud computing. Consequently, a cloud user who does not trust the capability of a cloud provider will be unwilling to continuously deploy cloud computing regardless of the benefits of the cloud platform. This study recommended a synergy between cloud users and cloud providers to bridge trust gaps and develop security plans and policies that will effectively tackle cyber-threats.

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“…In [7], authors suggested a trust model to measure the security strength and computation of trust values. CSA (Cloud Service Alliance) service challenges are used to assess security of a service and validity of the model.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Based Trust Management System for Cloud Environment

Kumar¹,

Mittal²,

Singh³

2016

Adv. Sci. Technol. Res. J.

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Cloud computing is a business model with high degree of flexibility, scalability in providing infrastructure, platform and software as a service over the internet. Cloud promises for easiness and reduced expense to service providers and consumers. However, a lack of trust between these two stakeholders has hindered the universal acceptance of cloud for outsourced services. In this paper, a fuzzy based trust management system is proposed to facilitate cloud consumers in identifying trustworthy providers. The performance of the proposed system is validated through a simulation using CloudAnalyst and Simulink.

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Trust Model for Measuring Security Strength of Cloud Computing Service

Cited by 87 publications

References 12 publications

A Generalized Trust Model for Computational Grids & Clouds

A Generalized Trust Model for Computational Grids & Clouds

Trust and Continuous Deployment of Cloud Computing: A Quantitative Analysis

Fuzzy Based Trust Management System for Cloud Environment

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