Secure Compressed Reading in Smart Grids
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, the authors propose a secure compressed reading scheme to address this critical issue. They observe that their collected real-world meter data express strong temporal correlations, indicating they are sparse in certain domains. They adopt Compressed Sensing technique to exploit this sparsity and design an efficient meter data transmission scheme.