Trust Evaluation Model for Cloud Security Using Fuzzy Theory

Thakare, Vaishali Ravindra; Singh, K. John; Prabhu, C.S.R.; Priya, M.

doi:10.1109/ic-etite47903.2020.260

Cited by 2 publications

(5 citation statements)

References 18 publications

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“…The servers need to ensure higher security and lower latency before storing the data. [18][19][20][21][22]…”

Section: Working Examplementioning

confidence: 99%

Retracted: An enhance the data security performance using an optimal cloud network security for big data cloud framework

Venkatesan¹,

Chitra²

2021

Int J Communication

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Venkatesan B, Chitra S. An enhance the data security performance using an optimal cloud network security for big data cloud framework, International Journal of Communication Systems 2021, (https://doi.org/10.1002/dac.4854). The above article published online on 9 August 2021 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor and John Wiley and Sons Ltd. Following publication, it has come to our attention that the people named as the Guest Editors of the Special Issue were being impersonated by a fraudulent entity and the articles were not reviewed in line with the journal's peer review standards. The Editor has determined that the articles do not meet the required scholarly standards of the journal, and therefore has taken the decision to retract the article. We did not find any evidence of misconduct by the authors. The authors have been informed of the decision to retract.

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“…The servers need to ensure higher security and lower latency before storing the data. [18][19][20][21][22]…”

Section: Working Examplementioning

confidence: 99%

Retracted: An enhance the data security performance using an optimal cloud network security for big data cloud framework

Venkatesan¹,

Chitra²

2021

Int J Communication

View full text Add to dashboard Cite

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“…The proposed method is implemented on 1,000 cloud service resources with a constant number of 200 HRs. The performance of the proposed approach is compared to TFOA (Govindaraj and Natarajan, 2020) and FTEA (Thakare et al , 2020) algorithms. The results are shown in Table 4.…”

Section: Resultsmentioning

confidence: 99%

“…Improving trust success ratio The efficiency of the resource utilization Improving latency time FTEA (Thakare et al, 2020) Trust evaluation model and utilizing a triangular function for cloud security with a fuzzy mathematics method Enhancing the performance of trust evaluation The security costs in the enterprise cloud…”

Section: Referencesmentioning

confidence: 99%

“…For investigating the convergence of the proposed algorithm, the objective function is plotted in the considered iterations. The results show that the method has better fitness than the FTEA (Thakare et al, 2020) and the TFOA (Govindaraj and Natarajan, 2020). The proposed method is compared to the TFOA algorithm and the FTEA algorithm in 100 replications to test the convergence.…”

Section: Evaluating the Convergence And Stability Of The Proposed Met...mentioning

confidence: 99%

“…Finally, Thakare et al (2020) suggested a trust evaluation model for cloud security with a fuzzy mathematics method utilizing a triangular function. They also presented a fuzzy-based trust evaluation algorithm (FTEA) for assessing cloud service providers' trust.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of the trust values among human resources in the enterprise cloud using an optimization algorithm and fuzzy logic

Pahlevanzadeh

2021

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PurposeCloud eases information processing, but it holds numerous risks, including hacking and confidentiality problems. It puts businesses at risk in terms of data security and compliance. This paper aims to maximize the covered human resource (HR) vulnerabilities and minimize the security costs in the enterprise cloud using a fuzzy-based method and firefly optimization algorithm.Design/methodology/approachCloud computing provides a platform to improve the quality and availability of IT resources. It changes the way people communicate and conduct their businesses. However, some security concerns continue to derail the expansion of cloud-based systems into all parts of human life. Enterprise cloud security is a vital component in ensuring the long-term stability of cloud technology by instilling trust. In this paper, a fuzzy-based method and firefly optimization algorithm are suggested for optimizing HR vulnerabilities while mitigating security expenses in organizational cloud environments. MATLAB is employed as a simulation tool to assess the efficiency of the suggested recommendation algorithm. The suggested approach is based on the firefly algorithm (FA) since it is swift and reduces randomization throughout the lookup for an optimal solution, resulting in improved performance.FindingsThe fuzzy-based method and FA unveil better performance than existing met heuristic algorithms. Using a simulation, all the results are verified. The study findings showed that this method could simulate complex and dynamic security problems in cloud services.Practical implicationsThe findings may be utilized to assist the cloud provider or tenant of the cloud infrastructure system in taking appropriate risk mitigation steps.Originality/valueUsing a fuzzy-based method and FA to maximize the covered HR vulnerabilities and minimize the security costs in the enterprise cloud is the main novelty of this paper.

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Trust Evaluation Model for Cloud Security Using Fuzzy Theory

Cited by 2 publications

References 18 publications

Retracted: An enhance the data security performance using an optimal cloud network security for big data cloud framework

Retracted: An enhance the data security performance using an optimal cloud network security for big data cloud framework

Evaluation of the trust values among human resources in the enterprise cloud using an optimization algorithm and fuzzy logic

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