An Improved IoT Framework Data Transmission and Security using Light Weight Authenticated Key Management Mechanism

Abstract

Internet of Things (IoT) is also known as an interconnected network between people and objects, which provides various services and fulfill the role for distinct applications. The main aim of IoT system is to restructure various lives in order to evolve and perform the tasks around different ways. IoT has many robust and scalable applications, which are used from basic user needs to industrial requirements to achieve faster communication between useis and objects. The researchers are combining IoT with Artificial Intelligence in cloud to form smart world and has served billions of devices. These devices can operate in distinct scenarios like environmental monitoring, smart grid, industrial intelligence, and were interconnected to central clouds. The central clouds have the ability to operate with powerful intelligent processing. The high complexity is created for privacy preserving operations by using encryption algorithms and it ensures the security of the acquired data during the transmission over internet. The structure of IoT is required to be improved to secure the data transmission due to the multiple challenges such as the usage of huge data, effective resource allocation. Therefore, it is essential to develop an efficient method to ensure the security with integrity to provide diagnostic information during transmission and reception of data in an IoT environment. The Light Weight Authenticated key management mechanism with edge based IoT environment (LWAKM-EIoT) is proposed in this research to evaluate False Positive Rate (FPR) which is an important parameter to determine the data transmission rate. The proposed LWAKMEIoT showed 2% of the improvement in FPR when compared to the existing Communicating Things Network (CTN) environments.