Blockchain integrated data processing model for enabling security in Education 4.0

Abstract

The COVID-19 pandemic necessitated a swift shift to online learning, affecting students differently. We investigated the experiences of 62 students with disabilities in this new educational landscape. Online learning tools raise concerns about privacy and security, making it crucial to explore students' perceptions in these areas. Our findings reveal that while students with learning disabilities appreciate online learning's flexibility, they need more guidance and support. Neurodiverse students with learning disabilities are particularly aware of the need for a secure online learning environment. These insights underscore the unique educational needs of students with disabilities in online education. In Personal Records, authenticating individuals, especially those with visual impairments, is critical. Our research combines education with cutting-edge technologies, like blockchain and machine learning, to enhance biometric authentication for visually impaired individuals. Proposed work focuses the Highly Secure Blockchain-Based Compressive Sensing (HSBCS) system, which uses blockchain for data integrity and machine learning for secure biometric authentication. Our research focuses on education and includes comprehensive testing and performance assessments. Results highlight the educational value of the HSBCS system for Students, as it significantly improves Personal Records data security and accessibility. In conclusion, our research offers an innovative, secure solution for biometric authentication in Personal Records, with a strong emphasis on education. It empowers Students to access their student information securely and independently, while enhancing education on data security and integrity. This study underscores the importance of integrating emerging technologies into Personal Records to provide better experiences for Students and address their unique educational needs.