Trust model for cloud service consumers

2018 ◽  
Author(s):  
Alshaimaa M. Mohammed ◽  
Ehab I. Morsy ◽  
Fatma A. Omara
Keyword(s):  
Cloud Service ◽  
Trust Model

scholarly journals A Proposition of Modifications and Extensions of Cloud Computing Standards for Trust Characteristics Measures

2019 ◽  
Vol 12 (3) ◽  
pp. 27
Author(s):  
Sara Moazzezi Eftekhar ◽  
Witold Suryn
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Trust Model ◽  
Cloud Services ◽  
Marked Rise ◽  
Cloud Service Provider ◽  
Ongoing Research ◽  
Platform As A Service ◽  
Cloud Service Providers

In recent years, we have witnessed a marked rise in the number of cloud service providers with each offering a plethora of cloud services with different objectives. Gaining confidence for cloud technology adoption as well as selecting a suitable cloud service provider, both require a proper evaluation of cloud service trust characteristics. Hence, the evaluation of cloud services before used by the customer is of utmost importance. In this article, we adapt the extracted trust characteristics from both system and software quality standards and cloud computing standards, for evaluating cloud services. Moreover, we derive measures for each trust characteristics to evaluate the trustworthiness of different cloud service providers, and generalize these trust measures for any type of cloud services (e.g. Software as a Service, Platform as a Service, and Infrastructure as a Service). Our work thereby demonstrates a way to apply generalized trust measures for cloud services and therefore contributes to a better understanding of cloud services to evaluate their quality characteristics. As part of our ongoing research, the results of this study will be used to develop a comprehensive cloud trust model.

Modelling the Dynamics of Trust Across a Cloud Brokerage Environment

Web Services ◽  
2019 ◽  
pp. 2017-2040
Author(s):  
Noel Carroll
Keyword(s):  
Cloud Computing ◽  
Service Quality ◽  
Cloud Service ◽  
Trust Model ◽  
Business Value ◽  
Cloud Services ◽  
Service Value ◽  
Service Ecosystem ◽  
Cloud Brokerage ◽  
Additional Service

The globalised nature of cloud computing presents us with new challenges towards the development of effective business relationships across a dynamic service ecosystem. While availing of additional service capabilities, organisations are tasked with managing unfamiliar relationships with unfamiliar cloud service providers to generate increased business value. This calls for more attention towards the concept of trust within a cloud service environment. Cloud computing presents new economic and flexible business and technological models which supports the co-creation nature of service quality and ultimately business value. This research examined various methods to assess service quality and service capability assessment. During the course of this work, the author has identified the need to revisit the concept of ‘trust' within a cloud computing context and prescribe a method to model its complexity. The objective of this paper is to argue that, while cloud computing allows organisations to avail of increased service capabilities; it challenges the concept of trust. To support this argument the author presents the Cloud Services Trust Model to explain the dynamics of trust. In doing so, it introduces a notion of a distributed relational structure in service value co-creation. The paper also draws on theoretical developments to highlight the fundamental changes in the nature of service provision and how they impact on the assessment of service value and service quality. The author supports the need for greater transparency in the move towards greater accountability in the cloud ecosystem. The paper applies social network analysis (SNA) to model the trust relationships of a cloud brokerage environment.

A Hybrid Trust Model for Cloud Service Provider Selection with NLP Support and Malicious User Feedback Filtering

2021 ◽  
Author(s):  
Bhanu Prakash Poluparthi ◽  
G. Mani Kishan ◽  
V. Bala Sai Praneeth ◽  
A. Manikanta ◽  
Greeshma Sarath
Keyword(s):  
Service Provider ◽  
Cloud Service ◽  
Trust Model ◽  
User Feedback ◽  
Cloud Service Provider ◽  
Malicious User

scholarly journals TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Heba Kurdi ◽  
Bushra Alshayban ◽  
Lina Altoaimy ◽  
Shada Alsalamah
Keyword(s):  
Management System ◽  
Trust Management ◽  
Service Providers ◽  
Smart Cities ◽  
Cloud Service ◽  
Trust Model ◽  
Peer To Peer ◽  
Subjective Logic ◽  
Trust Management System ◽  
Effective Manner

Cloud computing plays a major role in smart cities development by facilitating the delivery of various services in an efficient and effective manner. In a Peer-to-Peer (P2P) federated clouds ecosystem, multiple Cloud Service Providers (CSPs) collaborate and share services among them when experiencing a shortage in certain resources. Hence, incoming service requests to this specific resource can be delegated to other members. Nevertheless, the lack of preexisting trust relationship among CSPs in this distributed environment can affect the quality of service (QoS). Therefore, a trust management system is required to assist trustworthy peers in seeking reliable communication partners. We address this challenge by proposing TrustyFeer, a trust management system that allows peers to evaluate the trustworthiness of other peers based on subjective logic opinions, formulated using peers’ reputations and Service Level Agreements (SLAs). To demonstrate the utility of TrustyFeer, we evaluate the performance of our method against two long-standing trust management systems. The simulation results show that TrustyFeer is more robust in decreasing the percentage of services that do not conform to SLAs and increasing the success rate of exchanged services by good CSPs conforming to SLAs. This should provide a trustworthy federated clouds ecosystem for a better, more sustainable future.

scholarly journals SLA Aware Trust Model for Cloud Service Deployment

2014 ◽  
Vol 90 (10) ◽  
pp. 10-15 ◽  
Author(s):  
Shyamlal Kumawat ◽  
Deepak Tomar
Keyword(s):  
Cloud Service ◽  
Trust Model ◽  
Service Deployment

scholarly journals Trusted Cloud Platform for Cloud Infrastructure

2013 ◽  
Vol 10 (8) ◽  
pp. 1884-1891
Author(s):  
Punit Gupta ◽  
Deepika Agrawal
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Cloud Service ◽  
Trust Model ◽  
Cloud Infrastructure ◽  
Service Model ◽  
Infrastructure As A Service ◽  
Trust Value ◽  
Trust Models ◽  
Computing Framework

Reliability and trust Models are used to enhance secure , reliable scheduling , load balancing and QoS in cloud and Distributed environment. Trust models that are being used in Distributed and Grid environment, does not qualify cloud computing environment requirements. Since the parameters that have being taken into consideration in these trust models, does not fit in the cloud Infrastructure As A Service, a suitable trust model is proposed based on the existing model that is suitable for trust value management for the cloud IaaS parameters. Based on the above achieved trust values,  trust based scheduling and load balancing  is done for better allocation of resources and enhancing the QOS of services been provided to the users. In this paper, an trust based cloud computing framework is proposed using trust model ,trust based scheduling and load balancing algorithms. Here we describe the design and development of trusted Cloud service model for cloud Infrastructure as a service (IaaS) known as VimCloud .VimCloud an open source cloud computing framework that implements the tusted Cloud Service Model and  trust based scheduling and load balancing algorithm . However one of the major issues in cloud IaaS is to ensure reliability and security or used data and computation. Trusted cloud service model ensures that user virual machine executes only on trusted cloud node, whose integrity and reliability is known in term of trust value . VimCloud shown practical in term of performace which is better then existing models.

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