Role-based trust model for community of interest

Tsai, Wei‐Tek; Zhong, Peide; Bai, Xiaoying; Elston, Jay

doi:10.1109/soca.2009.5410472

Cited by 6 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this evidence is fragmented. The focus of this study will be on two types of attacks, which are similar in various ways to other attacks [28,29], despite their differences with respect to their features and how they are carried out in the cloud environment [30].…”

Section: Design and Methodologymentioning

confidence: 99%

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

Alshammari

Alsubhi

2021

Applied Sciences

View full text Add to dashboard Cite

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.

show abstract

Section: Design and Methodologymentioning

confidence: 99%

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

Alshammari

Alsubhi

2021

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…In [106] that talks how to build service trust model. These ranking information can be used together with dependency information in composition.…”

Section: Rankingmentioning

confidence: 99%

Multi-tenancy and Sub-tenancy Architecture in Software-as-a-Service (SaaS)

Tsai

Zhong

2014

2014 IEEE 8th International Symposium on Service Oriented System Engineering

Self Cite

View full text Add to dashboard Cite

Multi-tenancy architecture (MTA) is often used in Software-as-a-Service (SaaS) and the central idea is that multiple tenant applications can be developed using components stored in the SaaS infrastructure. Recently, MTA has been extended where a tenant application can have its own sub-tenants as the tenant application acts like a SaaS infrastructure. In other words, MTA is extended to STA (Sub-Tenancy Architecture ). In STA, each tenant application not only need to develop its own functionalities, but also need to prepare an infrastructure to allow its sub-tenants to develop customized applications. This dissertation formulates eight models for STA, and proposes a Variant Point based customization model to help tenants and subtenants customize tenant and sub-tenant applications. In addition, this dissertation introduces Crowd-sourcing to become the core of STA component development life cycle. To discover fit tenant developers or components to help building and composing new components, dynamic and static ranking models are proposed. Further, rank computation architecture is presented to deal with the case when the number of tenants and components becomes huge. At last, an experiment is performed to prove rank models and the rank computation architecture work as design. Finally, I dedicate this dissertation to my many friends, Song Xiang, Feng Guo,

show abstract

“…A cloud service provider may give feedback or make inquiries concerning the trust values of cloud consumers by invoking a management trust service which is constituted of many distributed nodes. The nodes of a trust management system (TMS) expose interfaces to receive feedback or inquiries concerning trust results from the consumers in a decentralized manner [6][7][8]. The TMS discovers the available cloud services via the internet and allows consumers to access the new cloud service's trust by searching.…”

Section: Introductionmentioning

confidence: 99%

Integrating a High-Reliability Multicriteria Trust Evaluation Model with Task Role-Based Access Control for Cloud Services

Alshammari¹,

Albeshri²,

Alsubhi³

2021

Symmetry

View full text Add to dashboard Cite

Cloud data storage is revolutionary because it eliminates the need for additional hardware, which is often costly, inconvenient, and requires additional space. Cloud data storage allows data owners to store large amounts of data in a flexible way and at low cost. The number of online cloud storage services and their consumers has therefore increased dramatically. However, ensuring the privacy and security of data on a digital platform is often a challenge. A cryptographic task-role-based access control (T-RBAC) approach can be used to protect data privacy. This approach ensures the accessibility of data for authorized consumers and keeps it safe from unauthorized consumers. However, this type of cryptographic approach does not address the issue of trust. In this paper, we propose a comprehensive trust model integrated with a cryptographic T-RBAC to enhance the privacy and security of data stored in cloud storage systems, and suggests that trust models involve inheritance and hierarchy in the roles and tasks of trustworthiness evaluation, where this study aims to identify the most feasible solution for the trust issue in T-RBAC approaches. Risk evaluations regarding other possible flaws of the design are also performed. The proposed design can decrease risk by providing high security for cloud storage systems and improve the quality of decisions of cloud operators and data owners.

show abstract

Role-based trust model for community of interest

Cited by 6 publications

References 16 publications

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

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

Multi-tenancy and Sub-tenancy Architecture in Software-as-a-Service (SaaS)

Integrating a High-Reliability Multicriteria Trust Evaluation Model with Task Role-Based Access Control for Cloud Services

Contact Info

Product

Resources

About