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Authors:Raúl Casanova-Marqués1;2;Pavel Pascacio3;2;Jan Hajny1 andJoaquín Torres-Sospedra2;4

Affiliations:1Department of Telecommunications, Brno University of Technology, Brno, Czech Republic;2Institute of New Imaging Technologies, Universitat Jaume I, Castellón, Spain;3Electrical Engineering Unit, Tampere University, Tampere, Finland;4UBIK Geospatial Solutions S.L., Castellón, Spain

Keyword(s):Attribute-based Credentials, Collaborative Indoor Positioning Systems, Privacy, Anonymity, Bluetooth Low Energy, Wearables.

Abstract:Collaborative Indoor Positioning Systems (CIPSs) have recently received considerable attention, mainly because they address some existing limitations of traditional Indoor Positioning Systems (IPSs). In CIPSs, Bluetooth Low Energy (BLE) can be used to exchange positioning data and provide information (the Received Signal Strength Indicator (RSSI)) to establish the relative distance between the actors. The collaborative models exploit the position of actors and the relative position among them to allow positioning to external actors or improve the accuracy of the existing actors. However, the traditional protocols (e.g., iBeacon) are not yet ready for providing sufficient privacy protection. This paper deals with privacy-enhancing technologies and their application in CIPS. In particular, we focus on cryptographic schemes which allow the verification of users without their identification, so-called Anonymous Attribute-based Credential (ABC) schemes. As the main contribution, we present a cryptographic scheme that allows security and privacy-friendly sharing of location information sent through BLE advertising packets. In order to demonstrate the practicality of our scheme, we also present the results from our implementation and benchmarks on different devices.(More)

Collaborative Indoor Positioning Systems (CIPSs) have recently received considerable attention, mainly because they address some existing limitations of traditional Indoor Positioning Systems (IPSs). In CIPSs, Bluetooth Low Energy (BLE) can be used to exchange positioning data and provide information (the Received Signal Strength Indicator (RSSI)) to establish the relative distance between the actors. The collaborative models exploit the position of actors and the relative position among them to allow positioning to external actors or improve the accuracy of the existing actors. However, the traditional protocols (e.g., iBeacon) are not yet ready for providing sufficient privacy protection. This paper deals with privacy-enhancing technologies and their application in CIPS. In particular, we focus on cryptographic schemes which allow the verification of users without their identification, so-called Anonymous Attribute-based Credential (ABC) schemes. As the main contribution, we present a cryptographic scheme that allows security and privacy-friendly sharing of location information sent through BLE advertising packets. In order to demonstrate the practicality of our scheme, we also present the results from our implementation and benchmarks on different devices.

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Paper citation in several formats:
Casanova-Marqués, R., Pascacio, P., Hajny, J. and Torres-Sospedra, J. (2021).Anonymous Attribute-based Credentials in Collaborative Indoor Positioning Systems. InProceedings of the 18th International Conference on Security and Cryptography - SECRYPT; ISBN 978-989-758-524-1; ISSN 2184-7711, SciTePress, pages 791-797. DOI: 10.5220/0010582507910797

@conference{secrypt21,
author={Raúl Casanova{-}Marqués and Pavel Pascacio and Jan Hajny and Joaquín Torres{-}Sospedra},
title={Anonymous Attribute-based Credentials in Collaborative Indoor Positioning Systems},
booktitle={Proceedings of the 18th International Conference on Security and Cryptography - SECRYPT},
year={2021},
pages={791-797},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010582507910797},
isbn={978-989-758-524-1},
issn={2184-7711},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Security and Cryptography - SECRYPT
TI - Anonymous Attribute-based Credentials in Collaborative Indoor Positioning Systems
SN - 978-989-758-524-1
IS - 2184-7711
AU - Casanova-Marqués, R.
AU - Pascacio, P.
AU - Hajny, J.
AU - Torres-Sospedra, J.
PY - 2021
SP - 791
EP - 797
DO - 10.5220/0010582507910797
PB - SciTePress

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