Trust Management in Cloud Computing

2019 ◽  
pp. 1686-1711
Author(s):  
Vijay L. Hallappanavar ◽  
Mahantesh N. Birje
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Management System ◽  
Trust Management ◽  
Service Providers ◽  
Cloud Service ◽  
Network Access ◽  
Trust Value ◽  
Trust Management System ◽  
Computing Services

Cloud computing is a model for enabling everywhere, suitable, on-demand network access. There are a number of challenges to provide cloud computing services and to accomplish this, it is necessary to establish trust across the cloud, between the user and the service provider. It is becoming increasingly complex for cloud users to make distinction among service providers offering similar kinds of services. There must be some mechanisms in the hands of users to determine trustworthiness of service providers so that they can select service providers with confidence and with some degree of assurance that service provider will not behave unpredictably or maliciously. An effective trust management system helps cloud service providers and consumers reap the benefits brought about by cloud computing technologies. Hence the objective of this chapter is to describe existing mechanisms that are used to determine a trust worthiness of a cloud service, various models that are used for calculating a trust value and method to establish trust management system.

Trust Management in Cloud Computing

2017 ◽  
pp. 151-183 ◽  
Author(s):  
Vijay L. Hallappanavar ◽  
Mahantesh N. Birje
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Management System ◽  
Trust Management ◽  
Service Providers ◽  
Cloud Service ◽  
Network Access ◽  
Trust Value ◽  
Trust Management System ◽  
Computing Services

Cloud computing is a model for enabling everywhere, suitable, on-demand network access. There are a number of challenges to provide cloud computing services and to accomplish this, it is necessary to establish trust across the cloud, between the user and the service provider. It is becoming increasingly complex for cloud users to make distinction among service providers offering similar kinds of services. There must be some mechanisms in the hands of users to determine trustworthiness of service providers so that they can select service providers with confidence and with some degree of assurance that service provider will not behave unpredictably or maliciously. An effective trust management system helps cloud service providers and consumers reap the benefits brought about by cloud computing technologies. Hence the objective of this chapter is to describe existing mechanisms that are used to determine a trust worthiness of a cloud service, various models that are used for calculating a trust value and method to establish trust management system.

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 An integrated three-tier trust management framework in mobile edge computing using fuzzy logic

2021 ◽  
Vol 7 ◽  
pp. e700
Author(s):  
Merrihan B.M. Mansour ◽  
Tamer Abdelkader ◽  
Mohamed Hashem ◽  
El-Sayed M. El-Horbaty
Keyword(s):  
Service Provider ◽  
Trust Management ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Edge Computing ◽  
Trust Value ◽  
Management Framework ◽  
Cloud Service Providers

Mobile edge computing (MEC) is introduced as part of edge computing paradigm, that exploit cloud computing resources, at a nearer premises to service users. Cloud service users often search for cloud service providers to meet their computational demands. Due to the lack of previous experience between cloud service providers and users, users hold several doubts related to their data security and privacy, job completion and processing performance efficiency of service providers. This paper presents an integrated three-tier trust management framework that evaluates cloud service providers in three main domains: Tier I, which evaluates service provider compliance to the agreed upon service level agreement; Tier II, which computes the processing performance of a service provider based on its number of successful processes; and Tier III, which measures the violations committed by a service provider, per computational interval, during its processing in the MEC network. The three-tier evaluation is performed during Phase I computation. In Phase II, a service provider total trust value and status are gained through the integration of the three tiers using the developed overall trust fuzzy inference system (FIS). The simulation results of Phase I show the service provider trust value in terms of service level agreement compliance, processing performance and measurement of violations independently. This disseminates service provider’s points of failure, which enables a service provider to enhance its future performance for the evaluated domains. The Phase II results show the overall trust value and status per service provider after integrating the three tiers using overall trust FIS. The proposed model is distinguished among other models by evaluating different parameters for a service provider.

scholarly journals Cascading Guided Search Cloud Service Search Engine

2013 ◽  
Vol 10 (9) ◽  
pp. 1977-1982
Author(s):  
Ms Thamilvaani Arvaree ◽  
Dr. Rodziah Atan
Keyword(s):  
Cloud Computing ◽  
Search Engine ◽  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Paradigm Shifts ◽  
Computing Services ◽  
It Organization ◽  
Cloud Computing Services ◽  
The Right

Cloud computing is one contemporary technology in which the research community has recently embarked. This paradigm shifts the location of the infrastructure to the network to reduce the costs associated with the management of hardware and software resources. Developers with innovative ideas for new Internet services no longer require the large capital outlays in hardware to deploy their service or the human expense to operate it. Organization adopts cloud computing services through service provider via Internet. In recent years, numbers of cloud service providers are increase.  However, there is no study that focuses on search engine and web portal for cloud computing for users who want to find cloud service. At the same time, “vendor lock in” issues and the lack of common cloud standards delayed the interoperability across these providers. Thus, lead the cloud customer to face challenges and problems in selecting the right service provider who meets their needs. This research focus on meeting the user requeriment in cloud environment whereby, user requirements reflect to search query that entered by the end users and how these search queries are exactly matched with accurate cloud service. Therefore, end of the research cloud service search engine was developed as a proposed tool for meeting the user requirements. 

An Analysis on the Terms and Conditions of the Clickwrap Agreement and the Benefits of Maintaining the Click Wrap Agreement in Cloud Computing

2022 ◽  
pp. 205-224
Author(s):  
Dhiviya Ram
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
End User ◽  
Cloud Service Provider ◽  
Novel Approach ◽  
Cloud Service Providers ◽  
Provider Perspective

One of the most unique forms of contracting is apparent in cloud computing. Cloud computing, unlike other conventional methods, has adopted a different approach in the formation of binding contract that will be used for the governance of the cloud. This method is namely the clickwrap agreement. Click wrap agreement follows a take it or leave it basis in which the end users are provided with limited to no option in terms of having a say on the contract that binds them during the use of cloud services. The terms found in the contract are often cloud service provider friendly and will be less favourable to the end user. In this article, the authors examine the terms that are often found in the cloud computing agreement as well as study the benefit that is entailed in adopting this contracting method. This chapter has undertaken a qualitative study that comprises interviews of cloud service providers in Malaysia. Hence, this study is a novel approach that also provides insight in terms of the cloud service provider perspective regarding the click wrap agreement.

SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services

2013 ◽  
Vol 660 ◽  
pp. 196-201 ◽  
Author(s):  
Muhammad Irfan ◽  
Zhu Hong ◽  
Nueraimaiti Aimaier ◽  
Zhu Guo Li
Keyword(s):  
Cloud Computing ◽  
Computer Science ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Computing Services ◽  
Cloud Service Providers ◽  
Cloud Computing Services

Cloud Computing is not a revolution; it’s an evolution of computer science and technology emerging by leaps and bounds, in order to merge all computer science tools and technologies. Cloud Computing technology is hottest to do research and explore new horizons of next generations of Computer Science. There are number of cloud services providers (Amazon EC2), Rackspace Cloud, Terremark and Google Compute Engine) but still enterprises and common users have a number of concerns over cloud service providers. Still there is lot of weakness, challenges and issues are barrier for cloud service providers in order to provide cloud services according to SLA (Service Level agreement). Especially, service provisioning according to SLAs is core objective of each cloud service provider with maximum performance as per SLA. We have identified those challenges issues, as well as proposed new methodology as “SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services”. Currently, cloud service providers are using “orchestrations” fully or partially to automate service provisioning but we are trying to integrate and drive orchestration flows from SLAs. It would be new approach to provision cloud service and deliver cloud service as per SLA, satisfying QoS standards.

scholarly journals Advancing Cloud Network Management with Smart Monitoring Technique

2020 ◽  
Vol 8 (5) ◽  
pp. 495-500
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Infrastructure ◽  
Network Layers ◽  
Monitoring Model ◽  
Computing Services ◽  
Cloud Monitoring ◽  
Cloud Computing Services ◽  
Cloud Network

The proliferation of Cloud Computing has opened new and attractive offerings for consumers. Cloud Service Providers promote and market packages of cloud computing services that cater to diverse opportunities and user applications. While this has obvious advantages, there are certain factors that are a cause for concern. Monitoring the underlying infrastructure that supports the entire fabric of cloud computing is an aspect that requires a great deal of attention. The aspect of monitoring takes on a great deal of significance when performance and robustness of cloud service on offer is taken into consideration. Although research has been conducted into various cloud computing monitoring techniques, there is scope and room yet for an integrated cloud monitoring solution that can fulfill the requirements of cloud administrators to ensure optimal performance of the underlying infrastructure of a cloud computing network. In this paper, we propose a unified monitoring model that is essentially a composite framework involving hardware and network layers. Studies conducted during our experiments suggest that our unified cloud monitoring approach can significantly aid in reducing overall carbon emissions while helping meeting compliance and audit norms by ensuring that the underlying cloud infrastructure is monitored closely

scholarly journals Investigation on the Services of Private Cloud Computing by Using ADAM Method

2016 ◽  
Vol 6 (5) ◽  
pp. 2387
Author(s):  
Nur Widiyasono ◽  
Imam Riadi ◽  
Ahmad Luthfie
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Digital Data ◽  
Laboratory Simulation ◽  
Private Cloud ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Private Cloud Computing

<p>Cloud services are offered by many cloud service providers, but in for large companies generally are build  by a private cloud computing. In cloud systems of abuse it can be done by internal users or due to misconfiguration or may also refer to weaknesses in the system. This study evaluated the ADAM method (Advanced Data Acquisition Model) and tested the case schemes which are being carried out in the laboratory simulation of the process in order to obtain forensic evidence of digital data on private cloud computing services. Referring to the results of the investigation process by using ADAM Method, it can be verified that there are several parameters of the success investigation including the structure of files, files, time stamp, mac-address, IP address, username password, and the data from a server both from the desktop PC or smartphone, therefore the investigation by using ADAM can be succesed properly and correctly. Another contribution of this study was to identify the weaknesses of the service system that used owncloud in users list of the the same group can change another’s user’s passwod.</p>

Government Cloud Procurement

2021 ◽  
Author(s):  
Kevin McGillivray
Keyword(s):  
Cloud Computing ◽  
Data Privacy ◽  
Service Providers ◽  
Cloud Service ◽  
Information And Communications Technology ◽  
Freedom Of Information ◽  
Legal Requirements ◽  
Privacy Law ◽  
Computing Services ◽  
Cloud Computing Services

In Government Cloud Procurement, Kevin McGillivray explores the question of whether governments can adopt cloud computing services and still meet their legal requirements and other obligations to citizens. The book focuses on the interplay between the technical properties of cloud computing services and the complex legal requirements applicable to cloud adoption and use. The legal issues evaluated include data privacy law (GDPR and the US regime), jurisdictional issues, contracts, and transnational private law approaches to addressing legal requirements. McGillivray also addresses the unique position of governments when they outsource core aspects of their information and communications technology to cloud service providers. His analysis is supported by extensive research examining actual cloud contracts obtained through Freedom of Information Act requests. With the demand for cloud computing on the rise, this study fills a gap in legal literature and offers guidance to organizations considering cloud computing.

scholarly journals Implementing Fuzzy TOPSIS in Cloud Type and Service Provider Selection

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Aveek Basu ◽  
Sanchita Ghosh
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Providers ◽  
Multicriteria Decision Making ◽  
Leading Edge ◽  
Cloud Service ◽  
Fuzzy Topsis ◽  
End Users ◽  
Market Demand ◽  
Cloud Service Providers

Cloud computing can be considered as one of the leading-edge technological advances in the current IT industry. Cloud computing or simply cloud is attributed to the Service Oriented Architecture. Every organization is trying to utilize the benefit of cloud not only to reduce the cost overhead in infrastructure, network, hardware, software, etc., but also to provide seamless service to end users with the benefit of scalability. The concept of multitenancy assists cloud service providers to leverage the costs by providing services to multiple users/companies at the same time via shared resource. There are several cloud service providers currently in the market and they are rapidly changing and reorienting themselves as per market demand. In order to gain market share, the cloud service providers are trying to provide the latest technology to end users/customers with the reduction of costs. In such scenario, it becomes extremely difficult for cloud customers to select the best service provider as per their requirement. It is also becoming difficult to decide upon the deployment model to choose among the existing ones. The deployment models are suitable for different companies. There exist divergent criteria for different deployment models which are not tailor made for an organization. As a cloud customer, it is difficult to decide on the model and determine the appropriate service provider. The multicriteria decision making method is applied to find out the best suitable service provider among the top existing four companies and choose the deployment model as per requirement.

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