Paper 2022/943

DiSSECT: Distinguisher of Standard & Simulated Elliptic Curves via Traits

Vladimir Sedlacek, Masaryk University, University of Picardie Jules Verne
Vojtech Suchanek, Masaryk University
Antonin Dufka, Masaryk University
Marek Sys, Masaryk University
Vashek Matyas, Masaryk University
Abstract

It can be tricky to trust elliptic curves standardized in a non-transparent way. To rectify this, we propose a systematic methodology for analyzing curves and statistically comparing them to the expected values of a large number of generic curves with the aim of identifying any deviations in the standard curves. For this purpose, we put together the largest publicly available database of standard curves. To identify unexpected properties of standard generation methods and curves, we simulate over 250 000 curves by mimicking the generation process of four standards. We compute 22 different properties of curves and analyze them with automated methods to pinpoint deviations in standard curves, pointing to possible weaknesses.

Note: Website of the DiSSECT tool: https://dissect.crocs.fi.muni.cz

Metadata
Available format(s)
PDF
Category
Public-key cryptography
Publication info
Published elsewhere. AFRICACRYPT 2022
Keywords
elliptic curves standards simulations testing tool
Contact author(s)
vlada sedlacek @ mail muni cz
vojtechsu @ mail muni cz
dufkan @ mail muni cz
History
2022-08-08: revised
2022-07-20: received
See all versions
Short URL
https://ia.cr/2022/943
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2022/943,
      author = {Vladimir Sedlacek and Vojtech Suchanek and Antonin Dufka and Marek Sys and Vashek Matyas},
      title = {{DiSSECT}: Distinguisher of Standard & Simulated Elliptic Curves via Traits},
      howpublished = {Cryptology {ePrint} Archive, Paper 2022/943},
      year = {2022},
      url = {https://eprint.iacr.org/2022/943}
}
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