Received signal strength quantization for secure indoor positioning via fingerprinting

P. Richter; Z. Yang; O. Tkachenko; H. Leppäkoski; K. Järvinen; T. Schneider; E. S. Lohan

doi:10.1109/ICL-GNSS.2018.8440910

Received signal strength quantization for secure indoor positioning via fingerprinting

P. Richter, Z. Yang, O. Tkachenko, H. Leppäkoski, K. Järvinen, T. Schneider, E. S. Lohan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

110 Downloads (Pure)

Abstract

The increasingly connected world magnifies the threats to users' location privacy. Encryption protocols offer solutions to privacy concerns, but they are computationally very demanding. A reduction of the bit-length of the Received Signal Strength (RSS) measurements is required for a realistic, privacy-preserving positioning system based on fingerprinting. This paper studies the practical design of quantizers for RSS fingerprinting data and analyses the effect of the quantization on the positioning performance, with several real data sets and positioning algorithms. Our results show that a 4 bit quantization of RSS yields the same positioning accuracy as with unquantized RSS and that 1 bit approaches (i.e. proximity based positioning) are also feasible for certain applications.

Original language	English
Title of host publication	2018 International Conference on Localization and GNSS (ICL-GNSS)
Subtitle of host publication	26-28 June 2018, Guimaraes, Portugal.
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-5386-6984-6
DOIs	https://doi.org/10.1109/ICL-GNSS.2018.8440910
Publication status	Published - 26 Jun 2018
Publication type	A4 Article in conference proceedings
Event	International Conference on Localization and GNSS - Duration: 1 Jan 1900 → …

Publication series

Name
ISSN (Electronic)	2325-0771

Conference

Conference	International Conference on Localization and GNSS
Period	1/01/00 → …

Keywords

received signal strength
Quantization (signal)
privacy-preserving
positioning
fingerprinting
localization

Publication forum classification

Publication forum level 1

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10.1109/ICL-GNSS.2018.8440910Licence: Other

Richter - Received Signal Strength Quantization for Secure Indoor Positioning via Fingerprinting.pdf
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Accepted author manuscript, 419 KBLicence: Other

http://urn.fi/URN:NBN:fi:tty-201808282203

Cite this

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title = "Received signal strength quantization for secure indoor positioning via fingerprinting",

abstract = "The increasingly connected world magnifies the threats to users' location privacy. Encryption protocols offer solutions to privacy concerns, but they are computationally very demanding. A reduction of the bit-length of the Received Signal Strength (RSS) measurements is required for a realistic, privacy-preserving positioning system based on fingerprinting. This paper studies the practical design of quantizers for RSS fingerprinting data and analyses the effect of the quantization on the positioning performance, with several real data sets and positioning algorithms. Our results show that a 4 bit quantization of RSS yields the same positioning accuracy as with unquantized RSS and that 1 bit approaches (i.e. proximity based positioning) are also feasible for certain applications.",

keywords = "received signal strength, Quantization (signal), privacy-preserving, positioning, fingerprinting, localization",

author = "P. Richter and Z. Yang and O. Tkachenko and H. Lepp{\"a}koski and K. J{\"a}rvinen and T. Schneider and Lohan, {E. S.}",

year = "2018",

month = jun,

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doi = "10.1109/ICL-GNSS.2018.8440910",

language = "English",

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booktitle = "2018 International Conference on Localization and GNSS (ICL-GNSS)",

note = "International Conference on Localization and GNSS ; Conference date: 01-01-1900",

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Richter, P, Yang, Z, Tkachenko, O, Leppäkoski, H, Järvinen, K, Schneider, T & Lohan, ES 2018, Received signal strength quantization for secure indoor positioning via fingerprinting. in 2018 International Conference on Localization and GNSS (ICL-GNSS): 26-28 June 2018, Guimaraes, Portugal.. IEEE, International Conference on Localization and GNSS, 1/01/00. https://doi.org/10.1109/ICL-GNSS.2018.8440910

Received signal strength quantization for secure indoor positioning via fingerprinting. / Richter, P.; Yang, Z.; Tkachenko, O. et al.

2018 International Conference on Localization and GNSS (ICL-GNSS): 26-28 June 2018, Guimaraes, Portugal.. IEEE, 2018.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Richter, P.

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AU - Leppäkoski, H.

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AU - Schneider, T.

AU - Lohan, E. S.

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N2 - The increasingly connected world magnifies the threats to users' location privacy. Encryption protocols offer solutions to privacy concerns, but they are computationally very demanding. A reduction of the bit-length of the Received Signal Strength (RSS) measurements is required for a realistic, privacy-preserving positioning system based on fingerprinting. This paper studies the practical design of quantizers for RSS fingerprinting data and analyses the effect of the quantization on the positioning performance, with several real data sets and positioning algorithms. Our results show that a 4 bit quantization of RSS yields the same positioning accuracy as with unquantized RSS and that 1 bit approaches (i.e. proximity based positioning) are also feasible for certain applications.

AB - The increasingly connected world magnifies the threats to users' location privacy. Encryption protocols offer solutions to privacy concerns, but they are computationally very demanding. A reduction of the bit-length of the Received Signal Strength (RSS) measurements is required for a realistic, privacy-preserving positioning system based on fingerprinting. This paper studies the practical design of quantizers for RSS fingerprinting data and analyses the effect of the quantization on the positioning performance, with several real data sets and positioning algorithms. Our results show that a 4 bit quantization of RSS yields the same positioning accuracy as with unquantized RSS and that 1 bit approaches (i.e. proximity based positioning) are also feasible for certain applications.

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KW - Quantization (signal)

KW - privacy-preserving

KW - positioning

KW - fingerprinting

KW - localization

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ER -

Received signal strength quantization for secure indoor positioning via fingerprinting

Abstract

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Keywords

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Cite this