TY - GEN
T1 - Anonymous attribute-based credentials in collaborative indoor positioning systems
AU - Casanova-Marqués, Raúl
AU - Pascacio, Pavel
AU - Hajny, Jan
AU - Torres-Sospedra, Joaquín
N1 - Funding Information:
The authors gratefully acknowledge funding from European Union’s Horizon 2020 Research and Innovation programme under the Marie Sklodowska Curie grant agreement No. 813278 (A-WEAR, http: //www.a-wear.eu/) and from Ministry of the Inte-riorof theCzechRepublic undergrantVJ01030002. J. Torres-Sospedra acknowledges funding from INSIGNIA project (ref. PTQ2018-009981, MICINN).
Publisher Copyright:
Copyright © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Anonymity
KW - Attribute-based Credentials
KW - Bluetooth Low Energy
KW - Collaborative Indoor Positioning Systems
KW - Privacy
KW - Wearables
U2 - 10.5220/0010582507910797
DO - 10.5220/0010582507910797
M3 - Conference contribution
AN - SCOPUS:85111836476
VL - 1
T3 - SECRYPT
SP - 791
EP - 797
BT - Proceedings of the 18th International Conference on Security and Cryptography, SECRYPT 2021
A2 - di Vimercati, Sabrina De Capitani
A2 - Samarati, Pierangela
PB - Science and Technology Publications (SciTePress)
T2 - International Conference on Security and Cryptography
Y2 - 6 July 2021 through 8 July 2021
ER -