@inproceedings{61c94fa07b754c228013ec90256d4320,
title = "CatNap: Leveraging Generic MPC for Actively Secure Privacy-enhancing Proximity Testing with a Napping Party",
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 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.",
keywords = "Active Security, Multi-Party Computation, Privacy, Proximity-Testing",
author = "Ivan Oleynikov and Elena Pagnin and Andrei Sabelfeld",
note = "Publisher Copyright: {\textcopyright} 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.; 19th International Conference on Security and Cryptography, SECRYPT 2022 ; Conference date: 11-07-2022 Through 13-07-2022",
year = "2022",
doi = "10.5220/0011279500003283",
language = "English",
isbn = "9789897585906",
series = "Proceedings of the International Conference on Security and Cryptography",
publisher = "Science and Technology Publications, Lda",
pages = "237--248",
editor = "{De Capitani di Vimercati}, Sabrina and Pierangela Samarati",
booktitle = "SECRYPT 2022 - Proceedings of the 19th International Conference on Security and Cryptography",
}