Robust Rabin Cryptosystem Biometric Privacy Preserving Authentication Technique for IoT Enabled Devices Over Cloud

With the advent of growing technologies and digitalization, smart factories and healthcare systems in the cloud are more focused towards task-driven event processing. Also, most of the IoT-enabled devices are the sources to provide important data for these tasks. IoT offers many benefits but security is a major concern as devices are more prone to attack vulnerabilities over the cloud, leading to system failures. To tackle this, we introduces a new method named as Rabin Cryptosystem Biometric Privacy Preserving User Authentication System (RCBP2U-AS), which aims to secure IoT enabled devices over the cloud. The method works with secret generation for devices communicating with gateways, ensuring security on unsecured networks. This includes a unique encryption model for on-demand secret generation and session key management. The method achieves user authentication and device authentication using the public key concept. Moreover, the decryption process involves unique sequence generation using private key with a Blum–Blum–Shub pseudo-random bit generation algorithm. The system demonstration includes biometric implementation with three factor authentication. This significantly form the basis for secure authentication during data exchange from low powered device to cloud servers via gateway. The paper includes formal and informal security analysis over replay, password guessing, and other types of attacks using the AVISPA simulation Tool [7]. The performance evaluation done under various test case environments. Different complexity analysis function evaluations are done. The experimental result shows that the proposed RCBP2U-AS has less computation overhead and can detect numbers of attacks for IoT enabled devices over cloud.