Enhancing Cloud Security with Fuzzy Logic A Comprehensive Approach to Authentication, Data Recovery, Privacy and Security

Abstract

Cloud computing, despite its myriad advantages, remains vulnerable to various security threats, including unauthorized access, data breaches, and privacy violations. This paper proposes a robust security framework that uses a fuzzylogicbased system that uses fuzzy wuzzy library. The proposed model leverages fuzzy logic's ability to handle uncertainty and imprecision to dynamically adjust security measures based on real-time system conditions. By incorporating fuzzy rules and membership functions, the model effectively enhances data authentication, recovery, and privacy preservation. Through rigorous evaluation, the proposed framework demonstrates superior performance in terms of accuracy, efficiency, and security. This research contributes to the advancement of cloud security by providing a flexible and adaptive solution that can mitigate emerging threats and protect sensitive data.