Abstract:

Abstract Different sensors, digital devices, and objects may all sense their surroundings thanks to the Internet of Things (IoT) concept, which also links them to the worldwide Internet for data exchange. Integrating Edge, Fog, and Cloud infrastructure is becoming more necessary to enable Internet of Things (IoT) applications that are both latency-sensitive and computationally heavy. Security in the IoT, particularly for healthcare applications, is a big issue. In this research, a unique, lightweight encryption method for Internet of Things (IoT) based on fog is developed. For the execution and interaction of IoT applications and compute instances, Fog Bus provides a platform-independent interface. It lets service providers manage their resources as well as customers run numerous apps simultaneously and developers create applications. In order to safeguard activities on sensitive data, Fog Bus also uses Blockchain, authentication, and encryption mechanisms. For enhancing security, the blockchain with Tiny Lightweight Symmetric Encryption (TLSE) is introduced. The TLSE chooses the best key by taking the Aquila Optimization Algorithm into account (AOA). The UCI machine library is used to gather health care data in order to verify the proposed approach. The suggested method is put into practice using Python, and it is contrasted with more established methods like Rivest-Shamir-Adleman (RSA) and elliptical curve cryptography (ECC), respectively.

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