Anonymous Attribute-Based Credentials in Collaborative Indoor Positioning Systems
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Date
2021-07-08
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SciTePress
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Abstract
Collaborative Indoor Positioning Systems have recently received considerable attention, mainly because they address some of the existing limitations of traditional Indoor Positioning System. In Collaborative Indoor Positioning Systems, Bluetooth Low Energy can be used to exchange positioning data and provide information (the Received Signal Strength Indicator) 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. Therefore, this paper deals with privacy-enhancing technologies and their application in Collaborative Indoor Positioning System. In particular, we focus on cryptographic schemes which allow the verification of users without their identification, so-called Anonymous Attribute-Based Credentials schemes. As the main contribution, we present a cryptographic scheme that allows security and privacy-friendly sharing of location information sent through Bluetooth Low Energy 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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Proceedings of the 18th International Conference on Security and Cryptography - SECRYPT. 2021, p. 1-7.
https://www.scitepress.org/Link.aspx?doi=10.5220/0010582507910797
https://www.scitepress.org/Link.aspx?doi=10.5220/0010582507910797
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Peer-reviewed
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en
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
http://creativecommons.org/licenses/by-nc-nd/4.0/