Bayesian network, and probabilistic ontology driven trust model for SLA management of Cloud services

2014 ◽  
Author(s):  
Obed Jules ◽  
Abdelhakim Hafid ◽  
Mohamed Adel Serhani
Keyword(s):  
Bayesian Network ◽  
Trust Model ◽  
Cloud Services ◽  
Sla Management ◽  
Probabilistic Ontology

A Probabilistic Trust Model for Cloud Services Using Bayesian Networks

2021 ◽  
Author(s):  
Mihan Hosseinnezhad ◽  
Mohammad Abdollahi Azgomi ◽  
Mohammad Reza Ebrahimi Dishabi
Keyword(s):  
Cloud Computing ◽  
Bayesian Networks ◽  
Bayesian Network ◽  
Graphical Model ◽  
Service Providers ◽  
Estimation Error ◽  
Cloud Service ◽  
Trust Model ◽  
Cloud Services

Abstract With the rapid adoption of cloud computing in the industry, there has been a significant challenge in managing trust between cloud service providers and service consumers. In fact, trust management in cloud computing has become very challenging given the urgent need for cloud service requesters to choose efficient, trustworthy and non-risky services. One of the most important factors that can be considered in the trust or distrust of a service by the applicant is the different quality of services related to the service. Therefore, approaches are needed to assess the trustworthiness of cloud services with respect to the values ​​of their Quality of Service (QoS). Given the uncertainty that exists for cloud services, it is more realistic to model their QoS parameters as random variables and also consider different dependencies between them. In this paper, a new trust model for cloud services is proposed using Bayesian networks. Bayesian network is a probabilistic graphical model that can be used as one of the best methods to control uncertainty. Using Bayesian network makes it possible to infer more accurate QoS values ​​will which leads to the selection of highly trustworthy services by several cloud service requesters. The results of the experiments show that the proposed trust model is highly accurate and significantly reduces the estimation error.

Specifying a Trust Model for Academic Cloud Services

2016 ◽  
Author(s):  
Kazutshuna Yamaji ◽  
Motonori Nakamura ◽  
Yasuhiro Nagai ◽  
Tomohiro Ito ◽  
Hiroyuki Sato
Keyword(s):  
Trust Model ◽  
Cloud Services

scholarly journals Trustworthy data-driven networked production for customer-centric plants

2017 ◽  
Vol 117 (10) ◽  
pp. 2305-2324 ◽  
Author(s):  
Davy Preuveneers ◽  
Wouter Joosen ◽  
Elisabeth Ilie-Zudor
Keyword(s):  
Cyber Security ◽  
Industry 4.0 ◽  
Business Processes ◽  
Trust Model ◽  
Cloud Services ◽  
Performance Study ◽  
Manufacturing Enterprise ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Security Challenges

Purpose Industry 4.0 envisions a future of networked production where interconnected machines and business processes running in the cloud will communicate with one another to optimize production and enable more efficient and sustainable individualized/mass manufacturing. However, the openness and process transparency of networked production in hyperconnected manufacturing enterprises pose severe cyber-security threats and information security challenges that need to be dealt with. The paper aims to discuss these issues. Design/methodology/approach This paper presents a distributed trust model and middleware for collaborative and decentralized access control to guarantee data transparency, integrity, authenticity and authorization of dataflow-oriented Industry 4.0 processes. Findings The results of a performance study indicate that private blockchains are capable of securing IoT-enabled dataflow-oriented networked production processes across the trust boundaries of the Industry 4.0 manufacturing enterprise. Originality/value This paper contributes a decentralized identity and relationship management for users, sensors, actuators, gateways and cloud services to support processes that cross the trust boundaries of the manufacturing enterprise, while offering protection against malicious adversaries gaining unauthorized access to systems, services and information.

scholarly journals Building a Reputation Attack Detector for Effective Trust Evaluation in a Cloud Services Environment

2021 ◽  
Vol 11 (18) ◽  
pp. 8496
Author(s):  
Salah T. Alshammari ◽  
Khalid Alsubhi
Keyword(s):  
Cloud Computing ◽  
Trust Management ◽  
Trust Model ◽  
Cloud Services ◽  
Security Risk ◽  
Privacy And Security ◽  
Collusion Attack ◽  
Inappropriate Behaviors ◽  
Computing Services ◽  
Cloud Computing Services

Cloud computing is a widely used technology that has changed the way people and organizations store and access information. This technology is versatile, and extensive amounts of data can be stored in the cloud. Businesses can access various services over the cloud without having to install applications. However, cloud computing services are provided over a public domain, which means that both trusted and non-trusted users can access the services. Although there are a number of advantages to cloud computing services, especially for business owners, various challenges are posed in terms of the privacy and security of information and online services. A threat that is widely faced in the cloud environment is the on/off attack, in which entities exhibit proper behavior for a given time period to develop a positive reputation and gather trust, after which they exhibit deception. Another threat often faced by trust management services is a collusion attack, which is also known as collusive malicious feedback behavior. This is carried out when a group of people work together to make false recommendations with the intention of damaging the reputation of another party, which is referred to as a slandering attack, or to enhance their own reputation, which is referred to as a self-promoting attack. In this paper, a viable solution is provided with the given trust model for preventing these attacks. This method works by providing effective security to cloud services by identifying malicious and inappropriate behaviors through the application of trust algorithms that can identify on/off attacks and collusion attacks by applying different security criteria. Finally, the results show that the proposed trust model system can provide high security by decreasing security risk and improving the quality of decisions of data owners and cloud operators.

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.

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