A Secure Authentication Model with Optimized Key Generation in IoT-Fog-Cloud Computing

With a rise in cloud computing, numerous organizations and businesses units utilized the cloud servers to expand their operations, which leads to lower equipment cost and effective resources utilization. The fog system is operated among the cloud-based IoT, that offered a hierarchy of computing resources for collecting, aggregating, and processing the data from IoT devices. Moreover, the private key is generated to encrypt the data for secure authentication of IoT-Fog-Cloud computing. In this work, hybrid optimization enabled optimal key is generated for data protection. The entities considered for secure authentication-based data protection includes user, fog devices and cloud server. Moreover, the steps like initialization, registration, key generation, authentication and verification as well as data protection is carried out. Furthermore, the secure authentication is done using the security operations like EXOR, hashing, encryption and decryption. In private key generation the proposed Chronological Jelly Fish optimization is utilized.