Distinguisher of Standard & Simulated Elliptic Curves via Traits

DiSSECT is, to the best of our knowledge, the largest publicly available database of standardized elliptic curves (taken from our sister project) and offers generation of simulated curves according to the mentioned standards. The tool contains over 20 tests (which we call traits), each computing curve properties, ranging from classical algebraic ones to unconventional ones and those connected to implementations. After obtaining their empirical distributions, the traits allow us to compare the simulated curves to the standard ones. Finally, DiSSECT provides an easy-to-use interface for implementations of custom traits and their interactive visualization via Jupyter notebook.

DiSSECT is written in Python 3 and imports the SageMath library. The database of the standardized elliptic curves as well as the simulated ones with the results of the traits, including the visualization, can be found at https://dissect.crocs.fi.muni.cz/. DiSSECT is open-source and we welcome any collaborators who have an idea for a new trait, new simulation method, or just want to contribute in another way.



Our publication of DiSSECT accepted for AFRICACRYPT'22 is available here and the presentation here.

This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms