Unified Architecture for Large-Scale Attested Metering
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Private memoirs of a smart meter
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Privacy-friendly aggregation for the smart-grid
PETS'11 Proceedings of the 11th international conference on Privacy enhancing technologies
I have a DREAM!: differentially private smart metering
IH'11 Proceedings of the 13th international conference on Information hiding
Privacy-friendly energy-metering via homomorphic encryption
STM'10 Proceedings of the 6th international conference on Security and trust management
Toward smart microgrid with renewable energy: an overview of network design, security, and standards
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
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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.