Title: LPM2DA: A lattice-based privacy-preserving multi-functional and multi-dimensional data aggregation scheme for smart grid

Abstract

With the improvement of information technologies and the introduction of so many inexpensive devices with powerful communication capabilities, the revolution of the Internet of Things (IoT) has gained enormous popularity in the past decade. Regarding the improvement of communication systems and the fact that every “thing” is going to be connected to the internet, the advent of a smart electrical grid as an application of IoT was inevitable. In spite of all the IoT advantages and applications like IoT-enabled smart grid, IoMT (the internet of medical things), and e-health systems, it is prone to numerous cyber-attacks and it also brings multiple vulnerabilities, privacy disclosure, and security menaces to the world. In the case of smart grid which provides efficient two-way transmission of energy and data, energy theft, fraud, impersonation, and learning personal patterns are the most common privacy and security threats that could affect people’s life intensely. Regarding security concerns such as privacy, integrity, and authentication; utilization of cryptographic techniques is the most practical approach toward addressing these problems. Since the frequent gathering of users’ consumption data discloses users’ privacy, plenty of data aggregation schemes have been introduced to preserve the privacy of users’ private information. Unfortunately, with the advent of quantum machines, most of these schemes will be rendered vulnerable and insecure. Hence, to preserve privacy and provide other security services like integrity and authentication in smart grid, we attempt to introduce a secure scheme based on lattice based cryptography named LPM2DA: a lattice-based privacy-preserving multi-functional and multi-dimensional data aggregation scheme. The proposed scheme enables the control center to acquire temporal and spatial aggregation of multi-dimensional data in a privacy-preserving manner. Eventually, through analytical evaluation, we illustrate the efficiency of the proposed scheme.