Privacy-Preserving Quantum Key Distribution Ensemble Paillier Cryptosystem for Securing IoT Based Smart Metering System

The advancements of smart grid embedded Internet of things for monitor, control and collection of energy data from smart meter to data aggregator points. In this aspect two-way smart meter current challenges of data privacy and cyber-security concerns. To overcome these constraints numerous authenticated key agreements schemes considered to enhances performances and security. However, high latency and heavy cryptographic operation entails time and bits overheads. Moreover, quantum computing can break the classical encryption techniques and mathematical barriers of cyber defensive properties. Therefore, proposed quantum key distribution ensemble Paillier cryptosystem for maintains privacy-preserving and securing of smart metering infrastructures. The details security analysis showed proposed protocol can resistance various cyber-attacks with quantum computing threats. Furthermore, performances assessments based on extensive simulation of computation time and bits proposed protocols are leading position from existing schemes. Thus, the novel proposed key distribution enables efficiency, security, and data privacy which is emerging notions for the smart metering infrastructures.

I. Introduction

The revolution of two-way smart grid depends on cyber physical system, internet of things and information communication technology for executes operation, control, command of energy management. The promising IoT based bi-directional smart meter capable of advanced sensing, measurements, control and management of electricity data transmission from remote area through the public and private communication system to utility reginal server. Thus, data encryption, decryption and key agreements is a critical technology are essential to protect privacy and protections of data and information during insecure communications and transmission system [1]. In smart grid through advanced metering infrastructure gathers data from large-scale IoT devices, namely smart meters, electronics intelligent devices, sensors, and network gateways. The smart meter automatically collects electricity consumptions data, demand response, peak pricing states and real time interaction and send data to the data aggregator point (utility regional server) server every 15 min time cycle [2]. Data acquiring without encryption through a public channel creates a lack of privacy and raised cyber security [3].