2020/02/12 by Santi Martínez, Martínez, Santi, Francesc Sebé +3
Computer Science · Engineering · #Cryptography and Security (cs.CR) #Electricity Theft Detection Techniques #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data #Wireless Communication Security Techniques #cs.CR
paper · pdf · doi:10.48550/arxiv.2002.04863
arxiv created 2020/02/12 · openalex publication_date 2020/02/12 · arxiv updated 2020/02/13 · openalex created_date 2020/02/24 · openalex updated_date 2026/07/28
In recent years, many proposals have arisen from research on privacy in smart metering. In one of the considered approaches, referred to as anonymization, smart meters transmit fine-grained electricity consumption values in such a way that the energy supplier can not exactly determine procedence. This paper measures the real privacy provided by such approach by taking into account that at the end of a billing period the energy supplier collects the overall electricity consumption of each meter for billing purposes. An entropy-based measure is proposed for quantifying privacy and determine the extent to which knowledge on the overall consumption of meters allows to re-identify anonymous fine-grained consumption values.