A security framework for smart metering with multiple data consumers

Abstract

Abstract-The increasing diffusion of Automatic Meter Reading (AMR) has raised many concerns about the protection of personal data related to energy, water or gas consumption, from which details about the habits of the users can be inferred. On the other hand, aggregated measurements about consumption are crucial for several goals, including resource provisioning, forecasting, and monitoring. This paper proposes a framework for allowing information Consumers, such as utilities and third parties, to collect data with different levels of spatial and temporal aggregation from smart meters without revealing information about individual customers.The proposed infrastructure introduces a new set of functional nodes, namely the Privacy Preserving Nodes (PPNs), which collect customer data masked by means of a secret sharing scheme with homomorphic properties, and aggregate them directly in the masked domain, according to the Consumer's needs and access rights. The information Consumers can recover the aggregated data by collecting multiple shares from the PPNs.The paper describes an Integer Linear Programming formulation and a greedy algorithm to address the problem of deploying the information flows between the information Producers (i.e. the customers), the PPNs, and the Consumers and evaluates the scalability of the infrastructure both under the assumption that the communication network is reliable and timely and in presence of communication errors.

A Differentially Private Selective Aggregation Scheme for Online User Behavior Analysis

“…4: Evaluation on utility, accuracy and computation overhead a system that can tolerate some offline clients, but a trusted dealer and a trusted initial setup phase between all participants and the aggregator are still needed. Rottondi et al [28] also discussed node failures but they addressed a different issue from this paper.…”

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

“…Moreover, the smart meter has to perform hard computations, and therefore, the computation overhead on the NAN gateway is larger when there are many thousands of meters. Moreover, more schemes on homomorphic encryption can be found in [166], [184]- [187].…”

Privacy Preserving and Collusion Resistant Energy Sharing

“…The first category of techniques built cryptographic protocols to directly aggregate or analyze such meter readings without sharing the raw data. For instance, Rottondi et al [19] proposed a privacy preserving infrastructure based on cryptographic primitives to enable utilities and data consumers to collect and aggregate metering data. The second category of techniques obfuscate the meter readings to prevent adversaries from learning the status of the appliances at different times.…”