Smart Grid Data Security Sharing Model Based on Multi-Authority Attribute-Based Encryption

doi:10.3969/j.issn.1671-1122.2025.01.009

Abstract

Abstract:

The smart grid transforms the potential value of data into actual benefits through sharing, thus ensuring the security of data sharing is crucial. The article proposed a data security sharing model based on multi authority attribute based encryption (MA-ABE) for fine-grained access control of data in smart grid scenarios. The article used the linear integer secret sharing scheme (LSSS) to construct the MA-ABE scheme, which enabled one attribute to be monitored by multiple authorities, and multiple authorities to jointly generate user private keys, making the scheme resistant to collusion attacks against attribute authorities (AA). Associated each authority with a blockchain and utilized relay technology to achieve multi chain collaboration, ensuring flexibility in cross domain data sharing. It has been proven through security protocols that the proposed MA-ABE scheme satisfies the indistinguishability under chose plaintext attacks based on the discriminative dual line Diffie Hellman assumption. The article demonstrates through theoretical analysis and comparative experiments that the proposed MA-ABE scheme has certain advantages in storage, computation, and functionality. The simulation results show that the throughput and latency of the model meet the requirements of smart grid data sharing, and can be applied to fine-grained access control of smart grid while ensuring the performance of smart grid data sharing.

Key words: smart grid, MA-ABE, multi-chain collaboration, access control, data sharing

CLC Number:

TP309

ZHANG Xinyou, LIU Qingfu, FENG Li, XING Huanlai. Smart Grid Data Security Sharing Model Based on Multi-Authority Attribute-Based Encryption[J]. Netinfo Security, 2025, 25(1): 98-109.

Figures/Tables 9

References 30

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软件环境	操作系统	Ubuntu 22.04
	密码学库	PBC 0.5.14
	区块链环境	Hyperledger Fabric 2.5
硬件环境	内存	32 GB
硬件环境	CPU	Intel i7-8750H

符号	含义
$AU$	权威机构的数量
$GU$	用户的属性数量
$U$	属性总数量
${{S}_{\text{max}}}$	LSSS矩阵的最大列数
$Exp$	幂运算计算开销
$Mul$	乘法运算计算开销
$Map$	双线性映射计算开销
$Hash$	哈希运算计算机开销

方案	AA公钥规模	AA私钥规模	用户私钥规模	密文规模
本文方案	$2U$	$2U$	$GU$	$2GU+2$
文献[14]方案	${{S}_{\text{max}}}U$	${{S}_{\text{max}}}U$	$GU$	$\left( {{S}_{\text{max}}}+1 \right)GU+1$
文献[26]方案	$2AU+U$	$2AU$	$AU+GU$	$3GU+1$
文献[27]方案	$3AU+U$	$3AU+U$	$2AU+2GU$	$3GU+3$

方案	针对AA的抗合谋	策略隐藏	属性撤销	用户追踪	外包解密	区块链
本文方案	√	√	√	√	×	√
文献[14]方案	×	×	×	×	×	×
文献[26]方案	×	×	√	×	×	×
文献[27]方案	×	√	√	×	√	×

方案	AA密钥生成开销	用户密钥生成开销	DO加密开销	DU解密开销
本文方案	UExp+UMap	2GUExp+ GUMul+ UHash	(1+2GU)+(2Exp+ Mul)+Map	GU(2Map+Exp)+ (1+2GU)Mul
文献[14] 方案	S_maxUExp+ AUMap	GUS_max(Exp+ Mul)-GUMul	GUS_maxMul+(1+ GU(2S_max+ 3))Exp+Map	(2GU+1)Mul+GuExp+ GuS_maxMap
文献[26] 方案	(2AU+U)Exp+ UHash	—	(GU+AU)Mul+ (4GU+1)Exp	(AU+GU+1)Exp+ (2GU+1)Mul)
文献[27] 方案	UMul+(2U+ 3AU)Exp+ Map+UHash	(AU+GU)Mul+ (3AU+3GU)Exp+ GUHash	(AU+GU)Mul+ (AU+4GU+3)Exp+ GUMap+GUHash	(2GU+AU+1)Mul+ (GU+1)Exp+(AU+ 4GU)Map