Enhanced QoS-Based Model for Trust Assessment in Cloud Computing Environment

Trust management becomes an urgent requirement in the cloud environment and a trust relationship between service user and service provider is required. Trust is the estimation of the ability of cloud resources in completing a task based on some criteria such as availability, reliability, and resourc...

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Main Authors: Hala Hassan, Ali Ibrahim El-Desouky, Abdelhameed Ibrahim, El-Sayed M. El-Kenawy, Reham Arnous
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9024048/
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author Hala Hassan
Ali Ibrahim El-Desouky
Abdelhameed Ibrahim
El-Sayed M. El-Kenawy
Reham Arnous
author_facet Hala Hassan
Ali Ibrahim El-Desouky
Abdelhameed Ibrahim
El-Sayed M. El-Kenawy
Reham Arnous
author_sort Hala Hassan
collection DOAJ
description Trust management becomes an urgent requirement in the cloud environment and a trust relationship between service user and service provider is required. Trust is the estimation of the ability of cloud resources in completing a task based on some criteria such as availability, reliability, and resource processing power. In this paper, an enhanced QoS-based model for evaluating the trustworthiness of the cloud provider is introduced. The proposed model calculates the accumulative trust value which is updated dynamically at each transaction and reflects the current or latest transaction of the provider in the cloud. The trustworthiness of a cloud resource is evaluated based on its provider reputation history from user feedback ratings based on the covariance mathematical technique to evaluate the credibility of the user's feedback. The trustworthiness of a cloud resource is also evaluated by calculating the computing power of resources at run-time. Experimental results confirm the effect of user opinion and resources processing speed on trust value calculation, which in turn assesses the trustworthiness of the cloud provider. The simulation has been performed using the CloudSim with the platform Eclipse for developing the proposed model.
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spelling doaj.art-aa503dc7f46a4c388e00d4cbc3ea7a9f2022-12-21T22:22:31ZengIEEEIEEE Access2169-35362020-01-018437524376310.1109/ACCESS.2020.29784529024048Enhanced QoS-Based Model for Trust Assessment in Cloud Computing EnvironmentHala Hassan0Ali Ibrahim El-Desouky1Abdelhameed Ibrahim2https://orcid.org/0000-0002-8352-6731El-Sayed M. El-Kenawy3https://orcid.org/0000-0002-9221-7658Reham Arnous4https://orcid.org/0000-0001-8381-6555Computer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, Mansoura, EgyptComputer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, Mansoura, EgyptComputer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, Mansoura, EgyptComputer and Systems Engineering Department, Delta Higher Institute for Engineering and Technology (DHIET), Mansoura, EgyptComputer and Systems Engineering Department, Delta Higher Institute for Engineering and Technology (DHIET), Mansoura, EgyptTrust management becomes an urgent requirement in the cloud environment and a trust relationship between service user and service provider is required. Trust is the estimation of the ability of cloud resources in completing a task based on some criteria such as availability, reliability, and resource processing power. In this paper, an enhanced QoS-based model for evaluating the trustworthiness of the cloud provider is introduced. The proposed model calculates the accumulative trust value which is updated dynamically at each transaction and reflects the current or latest transaction of the provider in the cloud. The trustworthiness of a cloud resource is evaluated based on its provider reputation history from user feedback ratings based on the covariance mathematical technique to evaluate the credibility of the user's feedback. The trustworthiness of a cloud resource is also evaluated by calculating the computing power of resources at run-time. Experimental results confirm the effect of user opinion and resources processing speed on trust value calculation, which in turn assesses the trustworthiness of the cloud provider. The simulation has been performed using the CloudSim with the platform Eclipse for developing the proposed model.https://ieeexplore.ieee.org/document/9024048/Cloud service selectionquality of serviceuser credibilitysecuritytrust evaluation
spellingShingle Hala Hassan
Ali Ibrahim El-Desouky
Abdelhameed Ibrahim
El-Sayed M. El-Kenawy
Reham Arnous
Enhanced QoS-Based Model for Trust Assessment in Cloud Computing Environment
IEEE Access
Cloud service selection
quality of service
user credibility
security
trust evaluation
title Enhanced QoS-Based Model for Trust Assessment in Cloud Computing Environment
title_full Enhanced QoS-Based Model for Trust Assessment in Cloud Computing Environment
title_fullStr Enhanced QoS-Based Model for Trust Assessment in Cloud Computing Environment
title_full_unstemmed Enhanced QoS-Based Model for Trust Assessment in Cloud Computing Environment
title_short Enhanced QoS-Based Model for Trust Assessment in Cloud Computing Environment
title_sort enhanced qos based model for trust assessment in cloud computing environment
topic Cloud service selection
quality of service
user credibility
security
trust evaluation
url https://ieeexplore.ieee.org/document/9024048/
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