A Trust-Based Ranking Model for Cloud Service Providers in Cloud Computing

Mohammed, Alshaimaa M.; Omara, Fatma A.

doi:10.1007/978-981-15-3075-3_22

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…As a result, web services have a prominent role in software development and software engineering. 1 Nowadays, a large number of studies on different web service related challenges such as service discovery, [2][3][4] service composition, [5][6][7][8] service ranking, [9][10][11] and service recommendation [12][13][14] have been done. In all the above challenges, selecting the appropriate web services among the huge set of candidate web services is important.…”

Section: Introductionmentioning

confidence: 99%

A new model for trustworthy web service QoS prediction

Hashemi

Ghafouri

Hung

2021

Concurrency and Computation

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The number of web services available on the internet has exploded, and as a result, the number of services with the same functionality has exploded as well. Therefore, selecting the best web service from functionally similar services is a critical task in the web service domain. The Quality of Service (QoS) is one of the most common criteria used to select the best web service. Collaborative filtering (CF) has been utilized in several studies to predict the values of QoS attributes of web services for each user in a personalized way. The QoS histories of other users are employed in these methods to predict the QoS values of the active user. Although these methods function well and produce acceptable prediction results, the accuracy of their predictions can be harmed by incorrect data provided by untrustworthy users. In this study, we propose a new model that reduces the impact of unreliable user data, resulting in a trustworthy prediction. This model can be applied to any existing prediction method. In experiments, the proposed model was applied to seven known prediction methods. The results indicate that this model is able to eliminate the impact of unreliable users.

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Section: Introductionmentioning

confidence: 99%

A new model for trustworthy web service QoS prediction

Hashemi

Ghafouri

Hung

2021

Concurrency and Computation

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Monitoring File Integrity Using Blockchain and Smart Contracts

et al. 2020

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The adoption of cloud computing solutions is an established reality in government agencies and in small, medium, and large companies due to procurement easiness and the variety of available services, as well as its low cost compared to the acquisition and management of own infrastructures. Among the most used services is cloud file storage, and the security of this storage has been an essential subject of recent research, particularly customer data integrity. Thus, this article proposes a solution for the monitoring of the integrity of files stored in the cloud, based on the use of smart contracts in Blockchain Networks, symmetric encryption, and computational trust. The proposed solution consists of a protocol that provides confidentiality, decentralization, audit availability, and the secure sharing of file integrity monitoring results, without overloading the services involved, as well as an unabridged reference implementation which was used to validate the proposal. The results obtained during the validation tests have shown that the solution is feasible and faultless in detecting corrupted files. These tests also confirmed that the sharing of integrity monitoring results, coupled with the application of computational trust techniques, significantly increased the efficiency of the proposed solution.

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A Trust-Based Ranking Model for Cloud Service Providers in Cloud Computing

Cited by 2 publications

References 17 publications

A new model for trustworthy web service QoS prediction

A new model for trustworthy web service QoS prediction

Monitoring File Integrity Using Blockchain and Smart Contracts

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