Compliance-based Multi-dimensional Trust Evaluation System for determining trustworthiness of Cloud Service Providers

Singh, Sarbjeet; Sidhu, Jagpreet

doi:10.1016/j.future.2016.07.013

Cited by 76 publications

(41 citation statements)

References 35 publications

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“…The authors do not focus on consideration of user requirements for attributes, in evaluating trust value of a resource. Frameworks are proposed by [25,26] for trust evaluation of cloud service providers based on QoS attributes. The approaches are based on monitoring QoS attributes and evaluating the compliance with regard to the SLA.…”

Section: Related Workmentioning

confidence: 99%

“…The approaches are based on monitoring QoS attributes and evaluating the compliance with regard to the SLA. System suggested by [26] incorporates perspectives of different entities such as cloud users, auditor and peers in the process of trust evaluation. Supriya et al [27] proposed to employ multi-criteria based decision making methods for evaluating trust of cloud service providers.…”

Section: Related Workmentioning

confidence: 99%

“…The approach takes into account QoS requirements of user and computes the trust of a service based on fulfillment of the requirements. However, the approaches [11,25,26,27] do not offer dynamic trust update in cloud environment. A model is proposed by Manuel [28] to evaluate trust of a resource based on its capabilities and measured QoS attributes.…”

Section: Related Workmentioning

confidence: 99%

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Preferences based Customized Trust Model for Assessment of Cloud Services

Deshpande¹,

Ingle²

2018

IJECE

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In cloud environment, many functionally similar cloud services are available. But, the services differ in Quality of Service (QoS) levels, offered by them. There is a diversity in user requirements about the expected qualities of cloud services. Trust is a measure to understand whether a cloud service can adequately meet the user requirements. Consequently, trust assessment plays a significant role in selecting the suitable cloud service. This paper proposes preferences based customized trust model (PBCTM) for trust assessment of cloud services. PBCTM takes into account user requirements about the expected quality of services in the form of preferences. Accordingly, it performs customized trust assessment based on the evidences of various attributes of cloud service. PBCTM enables elastic trust computation, which is responsive to dynamically changing user preferences with time. The model facilitates dynamic trust based periodic selection of cloud services according to varying user preferences. Experimental results demonstrate that the proposed preferences based customized trust model outperforms the other model in respect of accuracy and degree of satisfaction.Copyright c 2018 Institute of Advanced Engineering and Science.All rights reserved.Corresponding Author: Shilpa Deshpande, Department of Computer Engineering, College of Engineering Pune, Savitribai Phule Pune University, Pune, Maharashtra, India Email: shilpshree@yahoo.com INTRODUCTIONCloud computing has entered mainstream and received wider acceptance. It is increasingly adopted by individuals, small and medium scale enterprises (SMEs) and government organizations to run their critical applications. The reason for this acceptance is the characteristics of cloud like scalability, on demand service, anytime-anywhere access, economic benefits of pay-per-use, delegation of maintenance and administration, performance and disaster recovery. Cloud services have proliferated to include software as a service, database as a service, platform as a service, infrastructure as a service, security as a service and storage as a service [1]. Cloud environment still remains challenging to rely on because of factors like loss of control over applications and data, increased threats of security [2], performance issues related to virtualization [3], enterprise grade availability requirements [4,5,6] and adequately meeting Quality of Service (QoS) expectations of users [7].Cloud computing has compelling advantages yet challenges too. For an enterprise to adopt cloud, it is important that enterprise has a certain belief that advantages of cloud can be realized. Trust is a measure of this belief [8]. Conventionally, people rely on reputation [4,8], service level agreement (SLA) [6,9], self-assessment [8,9] and cloud auditing [8,9] for trust assessment in cloud environment. However, trust assessment in cloud environment poses further important issues, which are revealed as part of the following discussion.Reputation based traditional trust assessment technique relies on ...

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Preferences based Customized Trust Model for Assessment of Cloud Services

Deshpande¹,

Ingle²

2018

IJECE

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“…In such studies researchers usually implement trust management systems based on several cloud attributes and present the results. For instance, [3] claimed that at present trust evaluation systems that evaluates trust based on the compliance of Cloud Service Providers (CSP) with SLA is not existed. Therefore, they proposed a Compliancebased Multi-Dimensional Trust Evaluation System (CMTES) where cloud clients can decide the trustworthy cloud service provider from different perspectives (i.e.…”

Section: A Technology and Trustmentioning

confidence: 99%

“…In order to assure Cloud Clients (CC) with their services, CSP usually offer Service Level Agreement (SLA). However, researchers such as [3] highlighted that such approach would not be sufficient for gaining consumers' trust as unclear specifications and ambiguous statements would make it difficult to recognize the trustworthy CSP. Furthermore, doubts of CSP would not be obliged to Service Level Agreement (SLA) maybe one of the issues that make SLA is not a sufficient trust management system for cloud computing.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Investigation on the Impact of Trust Mediated Determinants and Moderating Factors on the Adoption of Cloud Computing

Alharbi¹

2017

IJITCS

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Abstract-In a prior study we found out that trust is an effective factor in the acceptance and adoption of cloud computing using the UTAUT. However, various relationships from the original UTAUT were not confirmed in the extended model for cloud computing. Therefore, we present here a study aimed at investigating the mediation effect of trust on users' attitude toward the adoption of cloud computing using UTAUT. It is also aimed to examine the role of five moderating factors which are gender, age, education, managerial level and job domain on subjects' behavioral intention to use cloud computing services. Data were collected from 219 subjects in order to test the modified model and were analyzed using Partial Least Square (PLS) algorithm. Experimental results demonstrated that Performance Expectancy and Facilitating Conditions are strongly mediated by trust for the behavioral intention to adopt cloud computing. Statistical results, on the other hand, indicated that the majority of the moderating factors did not have a significant impact on the acceptance of cloud computing. The paper finally concludes with the limitations of current study and directions for future work.

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Trusted cloud broker for estimating the reputation of cloud providers in federated cloud environment

Muralidharan

Anitha

2021

Concurrency and Computation

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In federated cloud environment, it is too hard for the consumers to manage the services as multiple services may be rendered from multiple providers. Finding the trustable cloud service provider is an important and tedious process for the consumers before acquiring the services. In this proposed work, the reputation of the service providers are calculated through two different scenarios such as reputation estimation through consumer ratings and reputation estimation based on the trusted cloud broker (TCB) monitored data. The technical parameters such as availability of service, response time, bandwidth, throughput, and so forth, and nontechnical parameters such as service compliance, ease of access, support, readability of document, and so forth, of the rendered services are considered for analysis. The proposed model follows the fuzzy analytical hierarchical process principles that are used for ranking the services based on the quality of service and quality of experience metrics. The total reputations of the providers are calculated by combining the updated consumer reputation and the TCB estimated reputation. The performance of the proposed model is compared with the existing models such as RTM and CSTEM and found that the proposed model estimates the reputation with more accuracy.

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Compliance-based Multi-dimensional Trust Evaluation System for determining trustworthiness of Cloud Service Providers

Cited by 76 publications

References 35 publications

Preferences based Customized Trust Model for Assessment of Cloud Services

Preferences based Customized Trust Model for Assessment of Cloud Services

An Empirical Investigation on the Impact of Trust Mediated Determinants and Moderating Factors on the Adoption of Cloud Computing

Trusted cloud broker for estimating the reputation of cloud providers in federated cloud environment

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