It has been suggested that fog computing might be one of the leading possibilities for Internet of Things (IoT) applications in the not too distant future. On an environment with fog aided Internet of Things (IoT), the most important research problem is resource management on large-scale networks. In the context of the fog-cloud environment, a significant amount of research has been carried out on the scheduling and offloading of tasks. None of these publications address the need of maintaining security while managing fog resources. To be more specific, it is possible that illegal users have been making advantage of the fog's resources in more recent times. In this research, we examine the problem described in the above sentence and provide a solution using our innovative triune-layered design. Device layer, fog layer, and cloud layer are the three components that go into the construction of a revolutionary triune layer. The Multi-Factor Blockchain Biometric Authentication (MFB2A) is given at the device layer to identify the authorized users. The Montgomery Curve Encryption (MCE) is proposed to provide overall security for data. The whole work is going to be implemented in the iFogSim simulator so that the performance of the proposed work may be evaluated. The findings that have been made on time efficiency (response time, delay time, and offloading time), throughput, and energy consumption reveal encouraging outcomes in an Internet of Things environment that utilizes fog computing.

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