Enhancing Cloud Security with Fuzzy Logic a Comprehensive Approach to Authentication, Data Recovery, and Privateness

Cloud computation, despite its myriad advantages, remains assailable to assorted instrument scourge, including unaccredited access, data ruptures, and privateness violations. This paper affectation a robust instrument framework that incorporate a Mamdani fuzzy inference system to address these challenges. The proposed model leverages fuzzy logic's ability to handle uncertainty and imprecision to energizing correct instrument measures based on real-time system precondition. By incorporating fuzzy rules and association functions, the model effectively enhances data authentication, recovery, and privateness preservation. Through rigorous evaluation, the proposed framework demonstrates superior presentation in terms of quality, efficiency, and instrument. This problem solving contributes to the advancement of cloud instrument by furnishing a flexible and adaptive statement that can mitigate emerging scourge and protect crucial data.