Prikladnaya Diskretnaya Matematika. Supplement
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Prikl. Diskr. Mat. Suppl.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Prikladnaya Diskretnaya Matematika. Supplement, 2012, Issue 5, Pages 58–60 (Mi pdma52)  

Mathematical Methods of Cryptography and Steganography

Optimal linear approximations for Feistel networks. Estimation for the resistance of the cipher SMS4 to linear cryptanalysis

G. I. Shushuev

Mechanics and Mathematics Department, Novosibirsk State University, Novosibirsk
References:
Abstract: An approach to obtain the best linear approximations for Feistel networks is proposed. The resistance of the cipher SMS4 to linear cryptanalysis is investigated.
Document Type: Article
UDC: 519.7
Language: Russian
Citation: G. I. Shushuev, “Optimal linear approximations for Feistel networks. Estimation for the resistance of the cipher SMS4 to linear cryptanalysis”, Prikl. Diskr. Mat. Suppl., 2012, no. 5, 58–60
Citation in format AMSBIB
\Bibitem{Shu12}
\by G.~I.~Shushuev
\paper Optimal linear approximations for Feistel networks. Estimation for the resistance of the cipher SMS4 to linear cryptanalysis
\jour Prikl. Diskr. Mat. Suppl.
\yr 2012
\issue 5
\pages 58--60
\mathnet{http://mi.mathnet.ru/pdma52}
Linking options:
  • https://www.mathnet.ru/eng/pdma52
  • https://www.mathnet.ru/eng/pdma/y2012/i5/p58
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Prikladnaya Diskretnaya Matematika. Supplement
    Statistics & downloads:
    Abstract page:643
    Full-text PDF :125
    References:36
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024