Privacy Protection Scheme Supporting Interval Query for LBS Outsourced Data

doi:10.3969/j.issn.1671-1122.2021.03.004

Abstract

Abstract:

With the rapid development of cloud computing technology, more and more LBS services are being outsourced to the cloud to reduce local computing and storage costs. However, cloud servers are generally considered to be a semi-trusted entity in outsourced environment, the data security of LBS providers and the personal privacy of users will face new security challenges. In view of the fact that the absence of interval query and sufficient privacy protection in the existing LBS data outsourcing using cloud computing, a LBS interval query scheme with privacy protection features is proposed. Asymmetric scalar-product-preserving encryption and public key searchable encryption are used to encrypt LBS coordinates and point interest keywords to realize the confidentiality of LBS data and the user query mode. Lightweight matrix computing enables users to accurately obtain LBS data without revealing query intervals. In terms of new user registration, the bilinear pairing operation structure is adopted to realize user identity authentication. The performance analysis demonstrates that the proposed scheme has some advantages over existing similar schemes.

Key words: privacy protection, location-based service, interval query, outsourcing computing

CLC Number:

TP309

ZHOU Yousheng, WANG Ming, LIU Yuanni. Privacy Protection Scheme Supporting Interval Query for LBS Outsourced Data[J]. Netinfo Security, 2021, 21(3): 26-36.

Figures/Tables 8

References 26

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符号	符号说明
$<>$	内积运算符
${{M}_{1}},{{M}_{2}}$	可逆矩阵
${{O}_{o}}$	$l-2$维向量
$b$	长度为$l$的比特串
$\{({{x}_{i}},{{y}_{i}}),{{W}_{i}},{{\alpha }_{i}}\}$	第$i$条POI数据
$\{({{x}_{u}},{{y}_{u}}),R\}$	用户坐标为$({{x}_{u}},{{y}_{u}})$且查询半径为R的圆形区域
$[{{\partial }_{1}},{{\partial }_{2}}]$	用户所查询的POI区间属性范围
$lo{{c}_{\partial }},lo{{c}_{-1}}$	POI中区间属性值I和数字-1在l维向量中的位置
$r,{{r}_{u}},\text{ }r\prime ,\alpha $	随机数
$\left\{ S{{K}_{L}},P{{K}_{L}} \right\}$	LSP公私钥对
$\left\{ S{{K}_{\text{S}}},P{{K}_{S}} \right\}$	云服务器公私钥对
$\left\{ S{{K}_{u}},P{{K}_{u}} \right\}$	用户公私钥对

符号	定义
$N$	LBS数据数量
${{T}_{e}}$	群上一次模幂运算时间开销
${{T}_{m}}$	群上一次模幂乘法运算时间开销
${{T}_{p}}$	双线性映射操作时间开销

阶段	LBS加密数据	陷门生成	数据检索
文献[20]方案	$2N{{T}_{e}}$	$2{{T}_{e}}$	$2N{{T}_{p}}$
文献[21]方案	$N\left( 6{{T}_{e}}+2{{T}_{m}} \right)$	$4{{T}_{e}}$	$lo{{g}_{N}}\left( 5{{T}_{m}}+2{{T}_{p}} \right)$
文献[26]方案	$N\left( {{T}_{p}}+{{T}_{e}} \right)$	$2{{T}_{e}}$	$2N({{T}_{p}}+{{T}_{m}})$
本文方案	$N\left( 2{{T}_{m}}+{{T}_{p}} \right)$	$3{{T}_{m}}$	$N\left( {{T}_{m}}+2{{T}_{p}} \right)$

	查询隐私	位置隐私	地理范围查询	关键词查询	区间属性查询	用户访问控制
文献[20]方案	√	√	√	√	×	×
文献[21]方案	√	√	√	×	×	×
文献[26]方案	√	√	√	√	×	√
本文方案	√	√	√	√	√	√