Privacy-Friendly Energy-Metering via Homomorphic Encryption

By Flavio D. Garcia, Bart P. F. Jacobs. International Workshop on Security and Trust Management, 2010

417 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1bbc6fae2cf1d6dba0954384b7393651fcc61d8a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

Citations in the corpus

Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities (2011, background): “The use of homomorphic encryption can corroborate smart meter data privacy as discussed in [65].”
Deep Private-Feature Extraction (2018, background): “Current solutions to this problem, such as cryptography [5], [6], or complete data isolation and local processing [7], are not efficient for big data and techniques relying on deep learning [8], [9].”
Privacy-preserving smart metering (2011, background): “Garcia and Jacobs [21] design a multiparty computation protocol that allows a set of users (those living in the same neighbourhood) to compute the sum of their consumption without disclosing their individual consumption.”
Privacy-Friendly Aggregation for the Smart-Grid (2011, methodology): “GC [4] O(N(2)) · PK O(N(2)) · Zn2 O(N) · Enc+O(1) · Dec”
Fault-Tolerant Privacy-Preserving Statistics (2012, background): “Privacy-preserving smart metering statistics: Furthermore, we provide an overview on different (non-fault-tolerant) approaches that ensure privacy for different applications of smart metering data: leakage detection [5] by homomorphic encryption, general aggregation [14] and comparison by secret-sha”
Privacy-Enhanced Data Aggregation Scheme Against Internal Attackers in Smart Grid (2014, methodology): “The protocol does not conflict with the data aggregation scheme [10].”
Preserving data integrity for smart grid data aggregation (2012, methodology): “readings in a neighborhood using an additively homomorphic encryption scheme [13].”
Smart Grid — The New and Improved Power Grid: A Survey (2012, neutral): “Security [7, 19, 50] [164, 162, 250] Privacy [177, 45, 64, 79] [121, 147, 140, 143] [162, 207] Monitoring and Measurement [21, 55, 152] [222, 261, 268] Information Transmission [59, 241, 158] [128, 142]”
Two Is Not Enough: Privacy Assessment of Aggregation Schemes in Smart Metering (2017, methodology): “Variations of homomorphic encryption are used in [8][11][10] to securely aggregate the data.”
Achieving Differential Privacy in Secure Multiparty Data Aggregation Protocols on Star Networks (2017, background): “Garcia and Jacobs [10] Additive secret sharing with homomorphic encryption Star network No No N/A”