ADDRESSING SECURITY CHALLENGES IN DECENTRALIZED ACCESS CONTROL: A BLOCKCHAIN AND ADAPTIVE LEARNING PERSPECTIVE

The Blockchain is also quickly becoming a disruptive technology for providing people with never-before-seen self-governance by virtue of it being secure, transparent, and decentralized in nature. Due to its nature, it has also come to form the basis for various industry applications apart from serving as an early impetus for next-generation paradigms like cloud as well as edge computing. For security concerns data-sharing applications with distributed access control, the current work proposes a new disruptive approach as an adaptive learning model for addressing the above security concerns. Python programming is also implemented for the system validation. A comparison is also made between ALM of the new proposed work with available encrypting algorithms like RSA and AES. Various parameters are also quantified by the research work, and data thus fed is tabulated in fine details. The result demonstrates enhanced security, scalability, as well as computational efficiency by the proposed algorithm.