Implementation of privacy-friendly aggregation for the smart grid

Authors:
Benessa Defend;Klaus Kursawe
Affiliations:
ENCS, The Hague, Netherlands;ENCS, The Hague, Netherlands
Venue:
Proceedings of the first ACM workshop on Smart energy grid security
Year:
2013

Citing 8
Cited 0

Secure and privacy-preserving information aggregation for smart grids

International Journal of Security and Networks
Privacy-friendly aggregation for the smart-grid

PETS'11 Proceedings of the 11th international conference on Privacy enhancing technologies
Privacy-preserving smart metering

Proceedings of the 10th annual ACM workshop on Privacy in the electronic society
Privacy-friendly energy-metering via homomorphic encryption

STM'10 Proceedings of the 6th international conference on Security and trust management
Smart metering de-pseudonymization

Proceedings of the 27th Annual Computer Security Applications Conference
Efficient authentication scheme for data aggregation in smart grid with fault tolerance and fault diagnosis

ISGT '12 Proceedings of the 2012 IEEE PES Innovative Smart Grid Technologies
Private computation of spatial and temporal power consumption with smart meters

ACNS'12 Proceedings of the 10th international conference on Applied Cryptography and Network Security
EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications

IEEE Transactions on Parallel and Distributed Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In recent years a number of protocols have been suggested toward privacy-preserving aggregation of smart meter data, allowing electricity network operators to perform a large part of grid maintenance and administrative operations without having to touch any privacy-sensitive data. In light of upcoming European legislation, this approach has gained quite some attention. However, to allow such protocols to have a chance to make it into a real system, it is vital to add credibility by demonstrating that the approach scales, is reasonably robust, and can be integrated into the existing and planned smart metering chains. This paper presents results from integration and scalability tests performed on 100 DLMS/COSEM smart meters in collaboration with a meter manufacturer and a Dutch utility. We outline the use cases, lessons learned, and choices that had to be made to allow the protocols to run in a real system, as well as some privacy challenges that cannot be covered by this technology.