Privacy-Preserving Location Sharing via LWE-based Private Information Retrieval

We proposes a privacy-preserving location sharing scheme based on Learning with Errors (LWE) encryption, emphasizing its ability to resist quantum computing attacks and provide a high level of security. In order for real-world usage, we focus on its efficiency, flexibility, and adaptability for stre...

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Bibliographic Details
Published in2023 8th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Vol. 8; pp. 348 - 351
Main Authors Xue, Qingshui, Cui, Tianrui
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.11.2023
Subjects
Data privacy
homomorphic encryption
Information retrieval
Internet of Things (IoT)
location privacy protection
Privacy
privacy-preserving
Quantum computing
Resists
Scalability
Throughput
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Summary:We proposes a privacy-preserving location sharing scheme based on Learning with Errors (LWE) encryption, emphasizing its ability to resist quantum computing attacks and provide a high level of security. In order for real-world usage, we focus on its efficiency, flexibility, and adaptability for streaming. Location privacy has has emerged as a critical concern in today's data-driven society, due to the widespread usage of location-based services and the growing demand for personalized information. We leverages for fast and accurate information retrieval while maintaining robust privacy guarantees, achieving peer-to-peer transmission, 128-bit security or higher and an unparalleled throughput of 10 GB/s/core Through extensive experimental evaluations conducted on real-world deployments, we demonstrate the remarkable performance of our scheme in terms of preserving privacy and retrieval speed, particularly for streaming location data.
ISSN:2189-8723
DOI:10.1109/ICIIBMS60103.2023.10347863