Detailed Information on Publication Record
2022
DiSSECT: Distinguisher of Standard and Simulated Elliptic Curves via Traits
SEDLÁČEK, Vladimír, Vojtěch SUCHÁNEK, Antonín DUFKA, Marek SÝS, Václav MATYÁŠ et. al.Basic information
Original name
DiSSECT: Distinguisher of Standard and Simulated Elliptic Curves via Traits
Name in Czech
DiSSECT: Rozlišování standardních a simulovaných eliptických křivek pomocí traitů
Authors
SEDLÁČEK, Vladimír (203 Czech Republic, guarantor, belonging to the institution), Vojtěch SUCHÁNEK (203 Czech Republic, belonging to the institution), Antonín DUFKA (203 Czech Republic, belonging to the institution), Marek SÝS (703 Slovakia, belonging to the institution) and Václav MATYÁŠ (203 Czech Republic, belonging to the institution)
Edition
(Švýcarsko), International Conference on Cryptology in Africa, p. 493-517, 25 pp. 2022
Publisher
Springer, Cham
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/22:00126742
Organization unit
Faculty of Informatics
ISBN
978-3-031-17432-2
ISSN
Keywords in English
Elliptic curves;Standards;Simulations;Testing tool
Tags
Tags
International impact, Reviewed
Změněno: 9/10/2024 15:01, RNDr. Vojtěch Suchánek
Abstract
V originále
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.
Links
GA20-03426S, research and development project |
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