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OLBS: Oblivious Location-Based Services

delete2024-01-01
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PRE
AI
韩金广 (Jinguang Han) *
W
Willy Susilo
N
Nan Li
黄新异 (Xinyi Huang)
DOI:10.1109/TIFS.2023.3347874delete
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摘要

摘要

En 中文
With the growing use of mobile devices, location-based services (LBS) are becoming increasingly popular. BLS deliver accurate services to individuals according to their geographical locations, but privacy issues have been the primary concerns of users. Privacy-preserving LBS (PPLBS) were proposed to protect location privacy, but there are still some problems: 1) a semi-trusted third party (STTP) is required to blur users' locations; 2) both the computation and communication costs of generating a query are linear with the size of queried areas; 3) the schemes were not formally treated, in terms of definition, security model, security proof, etc. In this paper, to protect location privacy and improve query efficiency, an oblivious location-based services (OLBS) scheme is proposed. Our scheme captures the following features: 1) an STTP is not required; 2) users can query services without revealing their exact location information; 3) the service provider only knows the size of queried areas and nothing else; and 4) both the computation and communication costs of generating a query is constant, instead of linear with the size of queried areas. We formalise both the definition and security model of our OLBS scheme, and propose a concrete construction. Furthermore, the implementation is conducted to show its efficiency. The security of our scheme is reduced to well-known complexity assumptions. The novelty is to reduce the computation and communication costs of generating a query and enable the service provider to obliviously generate decrypt keys for queried services. This contributes to the growing work of formalising PPLBS schemes and improving query efficiency.
Keyword:
Privacy
Cryptography
Costs
Protocols
Computational modeling
Complexity theory
Generators
Location-base services
location privacy
oblivious transfer
security

期刊

IEEE Transactions on Information Forensics and Security 封面图
IEEE Transactions on Information Forensics and Security
IF:
8
论文数:
5.2K
被引数:
2.3W

机构

U
University of Wollongong
学者数:
1.3W
论文数: 1.6W
被引数: 2.8W
H
Hong Kong University of Science and Technology (Guangzhou)
学者数:
1.0K
论文数: 866
被引数: 1
S
southeast university - china
学者数:
5.3W
论文数: 4.9W
被引数: 57
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