Skip to Main Content (Press Enter)

Logo UNIECAMPUS
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze

UNI-FIND
Logo UNIECAMPUS

|

UNI-FIND

uniecampus.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze
  1. Pubblicazioni

Opportunities to minimize hardware and software costs for implementing boolean functions in stream ciphers

Articolo
Data di Pubblicazione:
2019
Abstract:
Currently, nonlinear Boolean functions are actively investigated worldwide. However, many questions remain unanswered. The theory of nonlinear Boolean functions that are suitable for use in cryptographically strong algorithms is significantly incomplete. Despite the existence of numerous publications on these themes, many issues related to the interconnection of design characteristics affecting the generator's performance and its cryptographic characteristics still remain unsolved. The possibility of generating a special type of sequence, called de Bruijn sequence, at minimal hardware and software costs to implement nonlinear Boolean functions in stream encryption systems, is the main subject of this work. The paper presents the possible structure boundaries (algebraic degree of a Boolean function, the number of monomials in a function) of iterative de Bruijn sequence bitrate generators for various generated sequence characteristics, such as linear complexity and autocorrelation function. The profile of the linear complexity of the studied sequences is close to the expected value of the linear complexity, as well as for a truly random sequence.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Autocorrelation function; Boolean functions; Cryptographic analysis; De bruijn sequence; Linear complexity; NLFSR; Nonlinear feedback shift register; Nonlinear polynomials; Pseudo-random sequence generators; Stream ciphers
Elenco autori:
Kuznetsov, Oleksandr; Potii, O.; Poluyanenko, N.; Ihnatenko, S.; Stelnyk, I.; Mialkovsky, D.
Autori di Ateneo:
KUZNETSOV OLEKSANDR
Link alla scheda completa:
https://iris.uniecampus.it/handle/11389/70690
Pubblicato in:
COMPUTING INTERNATIONAL SCIENTIFIC JOURNAL
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.1.0