Privacy-preserving Data Aggregation with Fine Grained Access Control for Smart Grid

doi:10.3969/j.issn.1671-1122.2021.11.004

Abstract

Abstract:

Smart grid enables dynamic power allocation and intelligent pricing, thanks to collecting and analyzing power consumption data in real time. This feature is of great significance to improve the efficiency and reliability of power grid. However, in the process of power data acquisition, security threats need to be considered with respect to the leakage of user’s privacy. In addition, based on the principle of minimum necessary knowledge, the statistical information of various power consumption data should only be read by the designated authorized entity. To address the above problems, a privacy-preserving data aggregation with fine grained access control for smart grid was proposed. The scheme used Horner rule to aggregate multi-user and multi region power consumption data in a multi-dimensional way. The homomorphic encryption was used to ensure the privacy of user power consumption data, the digital signature was used to ensure authenticity of power consumption data. And the proxy re-encryption was used to achieve fine-grained access control of aggregated data, that is to say, the designated authorized entity could only read the aggregated data. Security analyses show that the proposed scheme can not only guarantee user’s privacy and the integrity of power consumption data, but also enables fine-grained access control of the aggregated data. Therefore, the scheme is suitable for real-world applications.

Key words: smart grid, privacy preservation, homomorphic encryption, batch verification, data aggregation

CLC Number:

TP309

XIA Zhe, LUO Bin, XU Guibin, XIAO Xinxiu. Privacy-preserving Data Aggregation with Fine Grained Access Control for Smart Grid[J]. Netinfo Security, 2021, 21(11): 28-39.

Figures/Tables 9

References 19

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符号	含义
$DC$	数据中心
$ACC$	访问控制中心
$RAG{{W}_{i}}$	$i$区域的区域聚合网关
$Use{{r}_{ik}}$	$i$区域中的第$k$个智能电表
$BAMD{{D}_{i}}$	$i$区域的多维聚合密文数据
$SAMDD$	全体多维聚合密文数据
$\kappa,q,{{G}_{1}},{{G}_{2}},P,a,b,e$	双线性映射的参数
$N,g,G$	EDD加密的参数
$H$	哈希函数
${{R}_{1}},{{R}_{2}}$	霍纳参数
$CID$	公开的计算标识符
$m$	总区域数
$n$	每个区域最大用户数
${{n}_{i}}$	$i$区域实际用户数
$D$	单个维度数据的最大值
${{d}_{ik1}},\cdots,{{d}_{ikl}}$	$Use{{r}_{ik}}$的多维数据
${{d}_{ik}}$	经过霍纳规则降维的$Use{{r}_{ik}}$的多维数据
${{C}_{ik}}$	${{d}_{ik}}$经过加密后的密文
$\left( s{{k}_{DC}},p{{k}_{DC}} \right)$	数据中心$DC$的公私钥对
$\left( s{{k}_{ACC}},p{{k}_{ACC}} \right)$	访问控制中心$ACC$的公私钥对
$PK$	$DC$与$ACC$的Diffie-Hellman密钥
$\left( {{x}_{i}},{{Y}_{i}} \right)$	区域聚合网关$RAG{{W}_{i}}$用于签名的公私钥对
$\left( {{x}_{ik}},{{Y}_{ik}} \right)$	$Use{{r}_{ik}}$用于签名的公私钥对

安全属性	本文方案	SHEN^[1]等人的方案	EPPA	EPPDR
私密性	√	√	√	√
数据完整性	√	√	√	√
细粒度访问控制	√	×	×	×

计算开销实体	本文方案	SHEN^[1]等人的方案	EPPA	EPPDR
用户/User/ User/User	2C_e+C_m	2C_e+C_m	(l+1)C_e+C_m	2C_e+C_m
区域聚合网关/RAGW/GW/BG	(n_i+2)C_p+(n-n_i)C_e+C_m	(n_i+2)C_p+(n-n_i)C_e+C_m	(n+1)C_p+C_m	3nC_p+C_m
数据中心（聚合）/DGW	(m+2)C_p+C_m	(m+2)C_p+C_m	—	—
数据中心（重加密）	3C_e	—	—	—
访问控制中心	3C_e	—	—	—
数据接收者/CC/OA/CC	4C_e	2C_p	2C_p	3mC_p

通信开销通信路径	本文方案/bit	SHEN^[1]等人的方案/bit	EPPA/bit	EPPDR/bit
用户发往区域聚合网关/User→RAGW/User→GW/User→BG	4356mn	2308mn	2308mn	2468mn
区域聚合网关发往数据中心/RAGW→DGW	4356m	2308m	—	—
数据中心发往访问控制中心	4096	—	—	—
访问控制中心发往数据接收者/DGW→CC/GW→OA/BG→CC	4096	2308	2308	2468m