Verifiable and Privacy-preserving Fine-Grained Data-Collection for Smart Metering

被引:0
|
作者
Ambrosin, Moreno [1 ]
Hosseini, Hossein [2 ]
Mandal, Kalikinkar [2 ]
Conti, Mauro [1 ]
Poovendran, Radha [2 ]
机构
[1] Univ Padua, Dept Math, I-35100 Padua, Italy
[2] Univ Washington, Dept Elect Engn, Seattle, WA 98195 USA
基金
美国国家科学基金会;
关键词
Smart Grid; Smart Metering; Advanced Metering Infrastructure; verifiability; security; privacy;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Advanced Metering Infrastructure (AMI) is a key component of future Smart Grids, which allows fine-grained and real-time monitoring of the energy consumption of private houses or entire buildings. In an AMI, intelligent devices, namely Smart Meters (SMs), communicate with a Utility Provider (UP) for both management and billing purposes. However, this technology comes at a price in terms of privacy for customers. Indeed, a UP or an external attacker can infer sensitive information on end users, by analyzing their metering data. Therefore, protecting customer's privacy becomes a primary concern in the design of future AMIs. In this paper, we present the initial design of a privacy-preserving AMI and propose a scheme for fine-grained anonymous metering data transmission. Our scheme allows SMs to periodically transmit anonymous metering data to the UP through a multi-hop path composed by other SMs. Unlike previously proposed approaches, our scheme does not rely on trusted third parties. We consider a scenario where SMs are either honest-but-curious or controlled by the UP, whose aim is to deanonymize the received metering data. Our scheme also provides a secure mechanism that allows a Verification Center to verify the functionality of every SM, by accessing its internal log.
引用
收藏
页码:655 / 658
页数:4
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