Enhancing the cloud-based security using a fuzzy inference system

This research deals with some of the key challenges, such authentication, threats associated with data recovery, privacy, accountability and openness. Moreover, a cloud security model based on Fuzzy Inference System is proposed. The provided approach enhances a traditional security evaluation for the following reasons: Components of fuzzy logic: Taking Care of Unpredictable Things. A decision making framework that takes into account a number of diverse risk concerns, retaining outcomes that are both adaptive and interpretable. The findings of the research suggest that the FIS model increases the accuracy of the evaluation of the security of cloud and contributes to the decision-making process. Next, we will implement this in real time and combine it with machine learning methods. This greatly improves both automation and accuracy.

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