Achieving privacy preservation in WiFi fingerprint-based localization

Liang, Hong; Sun, Limin; Zhu, Haojin; Lü, Xiang; Cheng, Xiuzhen

doi:10.1109/infocom.2014.6848178

Cited by 116 publications

(108 citation statements)

References 12 publications

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“…S IMULTANEOUS localization and tracking (SLAT) of a mobile target has attracted tremendous interests with the rapid advances in wireless sensor networks (WSNs) [1], [2], e.g., the location-based services [3], warehousing management, location-aware security [4], [5], location-based network routing [6], [7], and shopping mall navigation [8].…”

Section: Introductionmentioning

confidence: 99%

The Error Propagation Analysis of the Received Signal Strength-Based Simultaneous Localization and Tracking in Wireless Sensor Networks

Zhou

Chen

Xiao

2017

IEEE Trans. Inform. Theory

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Abstract-Simultaneous localization and tracking (SLAT) in wireless sensor networks (WSNs) involves tracking the mobile target while calibrating the nearby sensor node locations. In practice, a localization error propagation (EP) phenomenon will arise, due to the existence of the latest tracking error, target mobility, measurement error and reference node location errors. In this case, the SLAT performance limits are crucial for the SLAT algorithm design and WSN deployment, and the study of localization EP principle is desirable. In this paper, we focus on the EP issues for the received signal strength-based SLAT scheme, where the measurement accuracy is assumed to be spatialtemporal-domain doubly random due to the target mobility, environment dynamics and different surroundings at different reference nodes. Firstly, the Cramer-Rao lower bound (CRLB) is derived to unveil both the target tracking EP and the node location calibration EP. In both cases, the EP principles turn out to be in a consistent form of the Ohm's Law in circuit theory. Secondly, the asymptotic CRLB analysis is then presented to reveal that both EP principles scale with the inverse of sensor node density. Meanwhile, it is shown that, the tracking and calibration accuracy only depends on the expectation of the measurement precision. Thirdly, the convergence conditions, convergence properties and the balance state of the target tracking EP and the location calibration EP are examined to shed light on the EP characteristics of the SLAT scheme. Finally, numerical simulations are presented to corroborate the EP analysis.

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Section: Introductionmentioning

confidence: 99%

The Error Propagation Analysis of the Received Signal Strength-Based Simultaneous Localization and Tracking in Wireless Sensor Networks

Zhou

Chen

Xiao

2017

IEEE Trans. Inform. Theory

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“…These privacy-preserving schemes were not designed for WiFi fingerprint-based localization; thus, they cannot be used to address the privacy issues presented in this paper. Li et al [12] studied the privacy issues in WiFi fingerprint-based localization and proposed a privacypreserving scheme to protect both the users' and the service provider's privacy during the online operating phase. However, they did not consider the privacy leaks during the site survey phase.…”

Section: Privacy-preserving Localizationmentioning

confidence: 99%

“…These privacy-preserving schemes were not designed for WiFi fingerprint-based localization algorithms; thus, they cannot be used to address the privacy issues presented in this paper. The most closely related work to this paper is that of Li et al [12] which proposed a privacy-preserving scheme to address the privacy issues of the online operating phase in WiFi fingerprintbased localization algorithms . However, they did not consider the privacy leaks of the offline site survey phase.…”

Section: Introductionmentioning

confidence: 99%

Privacy-preserving crowdsourced site survey in WiFi fingerprint-based localization

Sun

2016

J Wireless Com Network

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Typically, site survey is an inevitable phase for WiFi fingerprint-based localization which is regarded as one of the most promising techniques for indoor localization. However, the site survey can cause potential location privacy leakage for the participants who contribute their WiFi fingerprint measurements. In this paper, we propose a privacy-preserving site survey scheme for WiFi fingerprint-based localization. In the proposed scheme, we use homomorphic encryption to protect the location privacy of the participants which get involved in the site survey. Further, we employ differential privacy model to ensure that the released data will not breach an individual's location privacy regardless of whether she is present or absent in the site survey group. We theoretically analyze the security of the proposed scheme and use simulation experiments on a real-world data to validate the efficiency of the proposed scheme.

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“…For example, human movement, arbitrary walls and settings may influence the signal strength and thus output worse location estimation. WiFi fingerprint-based localization is regarded as one of the most promising techniques for indoor localization [52]. Other methods proposed to use RFID or extra sensor nodes to improve localization accuracy.…”

Section: Indoor Environmentmentioning

confidence: 99%