A Lightweight Privacy-Aware IoT-Based Metering Scheme for Smart Industrial Ecosystems

Abstract

The smart grid emerges as a new era of the electronic power grid. It integrates advanced sensing technologies, communications, and controlling methods that tell how electricity travels from different generation points to consumers. In order to fulfill customers' satisfaction and two way communications, a huge number of smart meters are deployed in different countries for real-time consumption and presentation of the rigorous energy usage. The privacy of industrial ecosystems may require greater attention while considering minimum network load, lower computational resources, better energy efficiency, and accuracy of data. Different research works have been done to tackle customers' privacy, but at the cost of using more computational resources, communication overhead, and hiring of a trusting third party. In this article, we have proposed a symmetric encryption scheme for industrial ecosystems in the Internet of Thing (IoT) environment. The performance evaluation and security analysis demonstrate successful user privacy and integrity with lower computational resources and communication overhead.