Enhanced Privacy-Preserving WiFi Fingerprint Localization from CL Encryption

The WiFi fingerprint-based localization method is considered one of the most popular techniques for indoor localization. In INFOCOM'14, Li et al. proposed a wireless fidelity (WiFi) fingerprint localization system based on Paillier encryption, which is claimed to protect both client <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C{{}^{\prime}\mathrm{s}}$</tex> location privacy and service provider <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$S{{}^{\prime}\mathrm{s}}$</tex> database privacy. However, Yang et al. presented a practical data privacy attack in INFOCOM'18, which allows a polynomial time attacker to obtain <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$S{{}^{\prime}\mathrm{s}}$</tex> database. We propose a novel WiFi fingerprint localization system based on Castagnos-Laguillaumie (CL) encryption, which has a trustless setup and is efficient due to the excellent properties of CL encryption. To prevent Yang et al.'s attack, the system requires that <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$S$</tex> selects only the locations from its database that can receive the nonzero signals from all the available access points in <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C{{}^{\prime}\mathrm{s}}$</tex> nonzero fingerprint in order to determine <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C{{}^{\prime}\mathrm{s}}$</tex> location. Security analysis shows that our scheme is secure under Li et al.'s threat model. Furthermore, to enhance the security level of privacy-preserving WiFi fingerprint localization scheme based on CL encryption, we propose a secure and efficient zero-knowledge proof protocol for the discrete logarithm relations in <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C{{}^{\prime}\mathrm{s}}$</tex> encrypted localization queries.

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Publication Details

Journal
Chinese Journal of Electronics
Published
2024-11-01
DOI
https://doi.org/10.23919/cje.2022.00.257
Citations
8
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
10.39

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article

Enhanced Privacy-Preserving WiFi Fingerprint Localization from CL Encryption

Zhiwei Wang, Zhenqi Zhang, Qiancheng Zhu
8 citations
Chinese Journal of Electronics
Antenna Design and Analysis
10.39
article

Enhanced Privacy-Preserving WiFi Fingerprint Localization from CL Encryption

Zhiwei Wang, Zhenqi Zhang, Qiancheng Zhu
article en
8 citations

Abstract

The WiFi fingerprint-based localization method is considered one of the most popular techniques for indoor localization. In INFOCOM'14, Li et al. proposed a wireless fidelity (WiFi) fingerprint localization system based on Paillier encryption, which is claimed to protect both client <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C{{}^{\prime}\mathrm{s}}$</tex> location privacy and service provider <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$S{{}^{\prime}\mathrm{s}}$</tex> database privacy. However, Yang et al. presented a practical data privacy attack in INFOCOM'18, which allows a polynomial time attacker to obtain <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$S{{}^{\prime}\mathrm{s}}$</tex> database. We propose a novel WiFi fingerprint localization system based on Castagnos-Laguillaumie (CL) encryption, which has a trustless setup and is efficient due to the excellent properties of CL encryption. To prevent Yang et al.'s attack, the system requires that <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$S$</tex> selects only the locations from its database that can receive the nonzero signals from all the available access points in <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C{{}^{\prime}\mathrm{s}}$</tex> nonzero fingerprint in order to determine <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C{{}^{\prime}\mathrm{s}}$</tex> location. Security analysis shows that our scheme is secure under Li et al.'s threat model. Furthermore, to enhance the security level of privacy-preserving WiFi fingerprint localization scheme based on CL encryption, we propose a secure and efficient zero-knowledge proof protocol for the discrete logarithm relations in <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C{{}^{\prime}\mathrm{s}}$</tex> encrypted localization queries.

Chinese Journal of ElectronicsVol. 33(6)
Nanjing University of Posts and Telecommunications (CN)
Material Corrosion and Protection Key Laboratory of Sichuan Province
Openalex Percentile: Top 2%
Antenna Design and Analysis
10.39
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