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

Abstract

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.

Improving Quality in the Process of Hot Rolling of Steel Sheets

“…The need for such an approach is important to verify the results obtained from the previous steps of the research. The research has shown that the use of quality tools helps to identify the potential causes of the problem under analysis [27,28]. When solving a problem, it is important to find out the real cause of the problem.…”

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

“…Any type of trust management service is vulnerable to a variety of attacks [31]. These attacks have the potential to either enhance or destroy the reputation of a specific entity [32,33]. In order to build an accurate and secure trust model system, we focus on implementing various metrics to prevent these attacks, which enables us to create a stable, reliable, and accurate trust model framework.…”

Trust Management Systems in Cloud Services Environment: Taxonomy of Reputation Attacks and Defense Mechanisms

“…The security threats that threaten a TMS may sometimes arise from the consumers of the service themselves. Information concerning a user's experience can be obtained from feedback received [20] [21]. However, it can be very difficult to determine which kinds of activities are malicious.…”

“…The credibility of reputation systems can be damaged by the entities involved in those systems, intentionally or unintentionally, separately or together with others, based on the given application and social environment of the reputation system. There are basically two types of trust: recommendation trust (RT), which is the trust of the service provider in other service providers, and interaction trust (IT), which is the trust of the service provider in the consumers regarding the use of their services [20] [21]. Each type has many categories into which reputation attacks or misbehaviors of entities can be classified.…”

“…A control technique is also required to establish trust with respect to the tasks performed by individual users. A design that permits the integration of a trust model with a cloud storage system that employs a cryptographic T-RBAC approach has been presented in this approach [20] [21].…”