Resilience-Centric Trust Evaluation in Cloud Computing: A Comparative Assessment of Cloud Trust Evaluation Methods Using the RAA Metric

In cloud computing environments, trust evaluation models are critical for assessing the reliability and security of cloud service providers. The accuracy of trust evaluations may be impacted by the failure of traditional trust measurements to take resilience under dynamic settings into consideration. In order to assess the flexibility and resilience of trust assessment models in cloud computing, this research presents a new metric called the Resilience-Aware Assessment. The Risk Assessment offers a thorough assessment of trust models in a variety of cloud environments by taking into account elements including system performance during high stress, reaction to malevolent activity, and recovery time following interruptions. In order to compare various trust evaluation models already in use, this study evaluates them using the RAA in addition to other traditional criteria like accuracy, scalability, and convergence time. The findings show that the RAA metric, especially in situations with uncertainty and volatility, successfully draws attention to trust model strengths and shortcomings that are missed by traditional metrics. The integration of the RAA metric into multi-criteria decision-making frameworks for cloud service selection is also covered in the article, offering a more adaptable and robust method for evaluating trust. Future research will examine how the RAA measure can be used to improve autonomous trust management systems in edge-cloud contexts as well as how it can be applied in real-time cloud orchestration.

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Published
2024-12-06
DOI
https://doi.org/10.1109/isense63713.2024.10872061
Citations
1
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.78
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article

Resilience-Centric Trust Evaluation in Cloud Computing: A Comparative Assessment of Cloud Trust Evaluation Methods Using the RAA Metric

K. John Singh, Jomina John
1 citations
Cloud Data Security Solutions
0.78
article

Resilience-Centric Trust Evaluation in Cloud Computing: A Comparative Assessment of Cloud Trust Evaluation Methods Using the RAA Metric

K. John Singh, Jomina John
article en
1 citations

Abstract

In cloud computing environments, trust evaluation models are critical for assessing the reliability and security of cloud service providers. The accuracy of trust evaluations may be impacted by the failure of traditional trust measurements to take resilience under dynamic settings into consideration. In order to assess the flexibility and resilience of trust assessment models in cloud computing, this research presents a new metric called the Resilience-Aware Assessment. The Risk Assessment offers a thorough assessment of trust models in a variety of cloud environments by taking into account elements including system performance during high stress, reaction to malevolent activity, and recovery time following interruptions. In order to compare various trust evaluation models already in use, this study evaluates them using the RAA in addition to other traditional criteria like accuracy, scalability, and convergence time. The findings show that the RAA metric, especially in situations with uncertainty and volatility, successfully draws attention to trust model strengths and shortcomings that are missed by traditional metrics. The integration of the RAA metric into multi-criteria decision-making frameworks for cloud service selection is also covered in the article, offering a more adaptable and robust method for evaluating trust. Future research will examine how the RAA measure can be used to improve autonomous trust management systems in edge-cloud contexts as well as how it can be applied in real-time cloud orchestration.

Vellore Institute of Technology University (IN)
Openalex Percentile: Top 17%
Cloud Data Security Solutions
0.78
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Resilience-Centric Trust Evaluation in Cloud Computing: A Comparative Assessment of Cloud Trust Evaluation Methods Using the RAA Metric — K. John Singh, Jomina John · (2024) | TGRS Research Map | TGRS