TY - GEN
T1 - A privacy preserving smart metering system supporting multiple time granularities
AU - Lin, Hsiao Ying
AU - Shen, Shiuan Tzuo
AU - Lin , Bao-Shuh
PY - 2012/10/5
Y1 - 2012/10/5
N2 - Advanced smart meters generate meter readings in a time unit less than a second. Fine-grained meter readings enable various smart grid applications, such as load monitoring, automatic billing, and power generation planning. However, those meter readings threaten individuals' privacy by revealing details of one's daily activities. The time granularity of smart meters is often much finer than the one a smart grid application demands. Thus, the storage and access control mechanisms of meter readings are critical to balancing privacy requirements and application functionalities. Previous studies address the issue by considering a locally trusted storage device and using cryptographic primitives. We consider a storage outsourcing scenario, where the external storage environment is semi-trusted. We construct a privacy preserving metering system by using a trusted platform module in a smart meter and pseudorandom number generators inside the module. Our system guarantees the secure storage of meter readings and supports multiple time granularities. In our system, a user grants a service provider an access right over meter readings at a time granularity S. The granted service provider is only allowed to get the power consumption at a time unit of the granted time granularity. Our system provides a simple yet very practical solution to the privacy preserving smart metering system. Moreover, we provide a privacy model to capture the privacy requirement and show that our system is privacy preserving against honest-but-curious service providers.
AB - Advanced smart meters generate meter readings in a time unit less than a second. Fine-grained meter readings enable various smart grid applications, such as load monitoring, automatic billing, and power generation planning. However, those meter readings threaten individuals' privacy by revealing details of one's daily activities. The time granularity of smart meters is often much finer than the one a smart grid application demands. Thus, the storage and access control mechanisms of meter readings are critical to balancing privacy requirements and application functionalities. Previous studies address the issue by considering a locally trusted storage device and using cryptographic primitives. We consider a storage outsourcing scenario, where the external storage environment is semi-trusted. We construct a privacy preserving metering system by using a trusted platform module in a smart meter and pseudorandom number generators inside the module. Our system guarantees the secure storage of meter readings and supports multiple time granularities. In our system, a user grants a service provider an access right over meter readings at a time granularity S. The granted service provider is only allowed to get the power consumption at a time unit of the granted time granularity. Our system provides a simple yet very practical solution to the privacy preserving smart metering system. Moreover, we provide a privacy model to capture the privacy requirement and show that our system is privacy preserving against honest-but-curious service providers.
KW - Privacy preserving technique
KW - Pseudorandom number generator
KW - Smart metering system
KW - Trusted platform module
UR - http://www.scopus.com/inward/record.url?scp=84866928541&partnerID=8YFLogxK
U2 - 10.1109/SERE-C.2012.22
DO - 10.1109/SERE-C.2012.22
M3 - Conference contribution
AN - SCOPUS:84866928541
SN - 9780769547435
T3 - Proceedings of the 2012 IEEE 6th International Conference on Software Security and Reliability Companion, SERE-C 2012
SP - 119
EP - 126
BT - Proceedings of the 2012 IEEE 6th International Conference on Software Security and Reliability Companion, SERE-C 2012
T2 - 2012 IEEE 6th International Conference on Software Security and Reliability Companion, SERE-C 2012
Y2 - 20 June 2012 through 22 June 2012
ER -