Secure Compressed Reading in Smart Grids

TL;DR

This paper introduces a secure, efficient compressed sensing-based scheme for smart meter data collection in smart grids, enhancing security and reliability without prior domain knowledge.

Contribution

It presents a novel secure compressed reading scheme that exploits data sparsity without needing prior domain information, improving efficiency and security in smart grid data transmission.

Findings

Achieves high efficiency in data transmission using compressed sensing.

Ensures data security and reliability through a dependable scheme.

Demonstrates superior performance compared to prior methods.

Abstract

Smart Grids measure energy usage in real-time and tailor supply and delivery accordingly, in order to improve power transmission and distribution. For the grids to operate effectively, it is critical to collect readings from massively-installed smart meters to control centers in an efficient and secure manner. In this paper, we propose a secure compressed reading scheme to address this critical issue. We observe that our collected real-world meter data express strong temporal correlations, indicating they are sparse in certain domains. We adopt Compressed Sensing technique to exploit this sparsity and design an efficient meter data transmission scheme. Our scheme achieves substantial efficiency offered by compressed sensing, without the need to know beforehand in which domain the meter data are sparse. This is in contrast to traditional compressed-sensing based scheme where such sparse-domain information is required a priori. We then design specific dependable scheme to work with our compressed sensing based data transmission scheme to make our meter reading reliable and secure. We provide performance guarantee for the correctness, efficiency, and security of our proposed scheme. Through analysis and simulations, we demonstrate the effectiveness of our schemes and compare their performance to prior arts.