Meter Reading Aggregation Scheme with Universally Symbolic Analysis for Smart Grid

被引:0
|
作者
QIU Hailing [1 ]
ZHANG Zijian [2 ]
WANG Weiping [1 ]
ZHANG Rui [1 ]
ZHOU Yongbin [1 ]
ZHU Liehuang [2 ]
机构
[1] Institute of Information Engineering, Chinese Academy of Sciences
[2] School of Computer Science, Beijing Institute of Technology University
基金
中国国家自然科学基金;
关键词
Data aggregation; Universally symbolic analysis; Smart grid;
D O I
暂无
中图分类号
TM76 [电力系统的自动化]; TN918.4 [密码的加密与解密];
学科分类号
摘要
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 privacypreserving 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.
引用
收藏
页码:577 / 584
页数:8
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