Paper 2024/1590 Original: eprint.iacr.org/2024/1590 ↗
Matching radar signals and fingerprints with MPC
Abstract
Vessels can be recognised by their navigation radar due to the characteristics of the emitted radar signal. This is particularly useful if one wants to build situational awareness without revealing one's own presence. Most countries maintain databases of radar fingerprints but will not readily share these due to national security regulations. Sharing of such information will generally require some form of information exchange agreement. However, all parties in a coalition benefit from correct identification. We use secure multiparty computation to match a radar signal measurement against secret databases and output plausible matches with their likelihoods. We also provide a demonstrator using MP-SPDZ.
Metadata
- Available format(s)
PDF- Category
- Applications
- Publication info
- Preprint.
- History
- 2025-02-05: last updated
- 2024-10-08: published
- Short URL
- https://ia.cr/2024/1590
- License
- https://creativecommons.org/licenses/by/4.0/
BibTeX
@misc{cryptoeprint:2024/1590,
author = {Benjamin Hansen Mortensen and Mathias Karsrud Nordal and Martin Strand},
title = {Matching radar signals and fingerprints with MPC},
howpublished = {Cryptology {ePrint} Archive, Paper 2024/1590},
year = {2024},
url = {https://eprint.iacr.org/2024/1590}
}