首页|Meter Reading Aggregation Scheme with Universally Symbolic Analysis for Smart Grid

Meter Reading Aggregation Scheme with Universally Symbolic Analysis for Smart Grid

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Millions of smart meters have been installed all around the world so far. The reported meter readings are conducive for utility companies to provide high quality of service. To efficiently and securely make use of those readings, data aggregation has been widely studied. Lu et al. proposed an Efficient and privacy-preserving aggregation (EPPA) scheme for secure smart grid communications in recent years. Unfortunately, we found a man-in-the-middle attack to the EPPA scheme in this paper. We then propose a new meter reading aggregation scheme, namely Universally composable meter reading aggregation (UCMRA) scheme, in order to resist against that attack. Moreover, we give a universally composable symbolic analysis to prove the security for UCMRA scheme. This proof also enables the UCMRA scheme to adopt an alternative cryptographic primitive arbitrarily, as long as the primitive meets the requirements of the corresponding ideal functionality. Finally, the experiment results show that the performance of the UCMRA scheme is almost as good as that of the EPPA scheme.

Data aggregationUniversally symbolic analysisSmart grid

QIU Hailing、ZHANG Zijian、WANG Weiping、ZHANG Rui、ZHOU Yongbin、ZHU Liehuang

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Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China

School of Computer Science, Beijing Institute of Technology University, Beijing 100081, China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaStrategic Priority Research Program of Chinese Academy of SciencesStrategic Priority Research Program of Chinese Academy of SciencesStrategic Priority Research Program of Chinese Academy of Sciences

6127247861472416612715126130017761302161XDA06030200XDA06010701XDA06010703

2019

10.1049/cje.2019.03.014

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN：1022-4653
年,卷(期)：2019.28(3)
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