CatNap : Leveraging Generic MPC for Actively Secure Privacy-enhancing Proximity Testing with a Napping Party
Oleynikov, Ivan ; Pagnin, Elena LU
and Sabelfeld, Andrei
(2022)
19th International Conference on Security and Cryptography, SECRYPT 2022
In Proceedings of the International Conference on Security and Cryptography
1.
p.237-248
- Abstract
Proximity testing is at the core of several Location-Based Services (LBS). Despite a series of reported and confirmed abuses, modern LBSs still demand their clients to disclose their locations in plain in order to preform location proximity testing. This works aims at enhancing proximity testing with privacy. We design CatNap a novel protocol that (1) implements precise Euclidean distance matching; (2) allows matching even if the clients are not online at the same time (the “napping party” feature); (3) is secure against active adversaries (malicious actors that corrupt up to one party); (4) makes black-box use of generic Multi-Party Computation techniques (any future improvement of the underlying building blocks will also boost... (More)
Proximity testing is at the core of several Location-Based Services (LBS). Despite a series of reported and confirmed abuses, modern LBSs still demand their clients to disclose their locations in plain in order to preform location proximity testing. This works aims at enhancing proximity testing with privacy. We design CatNap a novel protocol that (1) implements precise Euclidean distance matching; (2) allows matching even if the clients are not online at the same time (the “napping party” feature); (3) is secure against active adversaries (malicious actors that corrupt up to one party); (4) makes black-box use of generic Multi-Party Computation techniques (any future improvement of the underlying building blocks will also boost CatNap); and (5) is efficient: servers run with about 0.03 seconds of CPU time and 5.6MB of communication, while clients perform only a small number of Boolean operations and need just 51 bytes of communication.
(Less)
- author
- Oleynikov, Ivan
; Pagnin, Elena
LU
and Sabelfeld, Andrei
- organization
- publishing date
- 2022
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Active Security, Multi-Party Computation, Privacy, Proximity-Testing
- host publication
- SECRYPT 2022 - Proceedings of the 19th International Conference on Security and Cryptography
- series title
- Proceedings of the International Conference on Security and Cryptography
- editor
- De Capitani di Vimercati, Sabrina and Samarati, Pierangela
- volume
- 1
- pages
- 12 pages
- publisher
- Science and Technology Publications, Lda
- conference name
- 19th International Conference on Security and Cryptography, SECRYPT 2022
- conference location
- Lisbon, Portugal
- conference dates
- 2022-07-11 - 2022-07-13
- external identifiers
-
- scopus:85178520182
- ISSN
- 2184-7711
- ISBN
- 9789897585906
- DOI
- 10.5220/0011279500003283
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
- id
- 61c94fa0-7b75-4c22-8013-ec90256d4320
- date added to LUP
- 2024-01-11 11:26:10
- date last changed
- 2024-01-11 11:26:57
@inproceedings{61c94fa0-7b75-4c22-8013-ec90256d4320,
abstract = {{<p>Proximity testing is at the core of several Location-Based Services (LBS). Despite a series of reported and confirmed abuses, modern LBSs still demand their clients to disclose their locations in plain in order to preform location proximity testing. This works aims at enhancing proximity testing with privacy. We design CatNap a novel protocol that (1) implements precise Euclidean distance matching; (2) allows matching even if the clients are not online at the same time (the “napping party” feature); (3) is secure against active adversaries (malicious actors that corrupt up to one party); (4) makes black-box use of generic Multi-Party Computation techniques (any future improvement of the underlying building blocks will also boost CatNap); and (5) is efficient: servers run with about 0.03 seconds of CPU time and 5.6MB of communication, while clients perform only a small number of Boolean operations and need just 51 bytes of communication.</p>}},
author = {{Oleynikov, Ivan and Pagnin, Elena and Sabelfeld, Andrei}},
booktitle = {{SECRYPT 2022 - Proceedings of the 19th International Conference on Security and Cryptography}},
editor = {{De Capitani di Vimercati, Sabrina and Samarati, Pierangela}},
isbn = {{9789897585906}},
issn = {{2184-7711}},
keywords = {{Active Security; Multi-Party Computation; Privacy; Proximity-Testing}},
language = {{eng}},
pages = {{237--248}},
publisher = {{Science and Technology Publications, Lda}},
series = {{Proceedings of the International Conference on Security and Cryptography}},
title = {{CatNap : Leveraging Generic MPC for Actively Secure Privacy-enhancing Proximity Testing with a Napping Party}},
url = {{http://dx.doi.org/10.5220/0011279500003283}},
doi = {{10.5220/0011279500003283}},
volume = {{1}},
year = {{2022}},
}