@inproceedings{38384eeeaf1a4e1496f961373aa0f2f6,
title = "A practical smart metering system supporting privacy preserving billing and load monitoring",
abstract = "Fine-grained meter readings enable applications in an advanced metering infrastructure. However, those meter readings threaten personal privacy by implying a sketch of daily activities of households. The privacy issue has been addressed in smart metering systems by either a trusted third party assumption or cryptographic primitives. We address the privacy issue by using a trusted platform module and lightweight cryptographic primitives. Our smart metering system simultaneously supports the billing and load monitoring applications in a privacy preserving manner. It allows an electricity service provider obtain sums of meter readings over a time period and a monitoring center obtain sums of meter readings from meters in an area at some recent time unit while keeping individual meter reading private. Moreover, we formally prove that our system is privacy preserving. Our system provides a simple yet very practical solution to a privacy preserving smart metering system.",
keywords = "Trusted platform module, privacy preserving technique, pseudorandom number generator, secure aggregation, smart metering",
author = "Lin, {Hsiao Ying} and Wen-Guey Tzeng and Shen, {Shiuan Tzuo} and Bao-Shuh Lin ",
year = "2012",
month = jul,
day = "9",
doi = "10.1007/978-3-642-31284-7_32",
language = "English",
isbn = "9783642312830",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "544--560",
booktitle = "Applied Cryptography and Network Security - 10th International Conference, ACNS 2012, Proceedings",
note = "10th International Conference on Applied Cryptography and Network Security, ACNS 2012 ; Conference date: 26-06-2012 Through 29-06-2012",
}