Multi-Level Authentication with Access Control System for Heterogeneous IoT in Edge Computing

The Internet of Things (IoT) is a significant technology utilized across multiple sectors. Edge computing autonomously archives and evaluates the substantial volumes of data produced by IoT-based applications. The importance of safeguarding patient data access has increased in IoT based healthcare systems. Healthcare administration has instituted several security measures; nonetheless, enhancing the security of healthcare systems remains essential to avert data theft. A comprehensive secure architecture is necessary to allow users to access data based on their confidentiality level to resolve the issue. This paper proposes a multi-level authentication with access control system for heterogeneous IoT in edge computing. The authentication system employs lightweight cryptographic operations and comprises three levels: password, biometric, and token with QR code. The access control system employs several user attributes and fuzzy logic to compute the risk value for access determination. Safety and effectiveness analyses indicate that the new system has enhanced functionality and greater protection, while preserving minimal computational and communication overhead.