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Projective Space Stern Decoding and Application to SDitH

  • 95014 Cergy
  • Project COSMIQ

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

We show that here standard decoding algorithms for generic linear codes over a finite field can speeded up by a factor which is essentially the size of the finite field by reducing it to a low weight codeword problem and working in the relevant projective space. We apply this technique to SDitH and show that the parameters of both the original submission and the updated version fall short of meeting the security requirements asked by the NIST.

Original languageEnglish
Title of host publicationApplied Cryptography and Network Security Workshops - ACNS 2024 Satellite Workshops, AIBlock, AIHWS, AIoTS, SCI, AAC, SiMLA, LLE, and CIMSS, 2024, Proceedings
EditorsMartin Andreoni
PublisherSpringer Science and Business Media Deutschland GmbH
Pages29-52
Number of pages24
ISBN (Print)9783031614880
DOIs
Publication statusPublished - 1 Jan 2024
Externally publishedYes
EventSatellite Workshops held in parallel with the 22nd International Conference on Applied Cryptography and Network Security, ACNS 2024 - Abu Dhabi, United Arab Emirates
Duration: 5 Mar 2024 → 8 Mar 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14587 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceSatellite Workshops held in parallel with the 22nd International Conference on Applied Cryptography and Network Security, ACNS 2024
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period5/03/24 → 8/03/24

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