Privacidade dos dados dos usuários na medição inteligente: analisando o desempenho e a viabilidade

Abstract

Smart grids allow more connectivity between the end-user and the electric utility. Residential meters are replaced by smart meters, enabling near real-time communication between customer and company. The metering data serves to billing, monitoring, and service delivery. However, the interception of a malicious entity, or the misused by the utility, could expose customer privacy. With this comes the need to protect the privacy of end-users. Literature solutions discuss techniques such as data aggregation, homomorphic encryption, trusted third- party service, and blind signing to solve this problem. This article performs a qualitative and quantitative comparison of measurement models focused on operations data, considering the privacy aspect of user data. As a result, the blind signing model excelled in the security analysis and had 50% lower CPU usage than the partially homomorphic encryption model..