Distributed Privacy-Preserving Aggregation of Metering Data in Smart Grids

Abstract

Abstract-The widespread deployment of Automatic Metering Infrastructures in Smart Grid scenarios rises great concerns about privacy preservation of user-related data, from which detailed information about customer's habits and behaviors can be deduced. Therefore, the users' individual measurements should be aggregated before being provided to External Entities such as utilities, grid managers and third parties.This paper proposes a security architecture for distributed aggregation of additive data, in particular energy consumption metering data, relying on Gateways placed at the customers' premises, which collect the data generated by local Meters and provide communication and cryptographic capabilities. The Gateways communicate with one another and with the External Entities by means of a public data network. We propose a secure communication protocol aimed at preventing Gateways and External Entities from inferring information about individual data, in which privacy-preserving aggregation is performed by means of a cryptographic homomorphic scheme. The routing of information flows can be centralized or it can be performed in a distributed fashion using a protocol inspired by Chord. We compare the performance of both approaches to the optimal solution minimizing the data aggregation delay.

Privacy-Preserving Billing Scheme against Free-Riders for Wireless Charging Electric Vehicles

“…The tamper-proof meter reports the value in a certified form [13]. Similar assumptions can be found in many smart metering schemes such as [14][15][16]. They assume that smart meters are fully trusted or the readings from meters are certified.…”

SRDA: A Secure Routing and Data Aggregation Approach for Wireless Smart Meter

“…Especially, each wireless smart meter cannot find out any intermediate or final aggregation results. For user-related privacy preservation, References [21] and [22] propose a security architecture for distributed aggregation of smart metering data, and it collects the data and provides communication and cryptographic capabilities by relying on Gateways placed at the customers' premises. In order to resist impersonation and false data injection attacks, Reference [23] proposes an efficient and secure data aggregation scheme which is aimed to provide early detection of impersonation and false data injection attacks using hop-by-hop security, thus minimizing the need to rely entirely on the end receiver for verification.…”

Evaluation of the Precision-Privacy Tradeoff of Data Perturbation for Smart Metering

“…as the one proposed in [26]), meaning that the Aggregator node can perform additions on the measurements, but cannot access the individual inputs nor the generated noise. Depending on the available technology and computational power at the Meters, the Aggregator can be implemented either centralized [21] or distributed [26].…”