Skip to main content
Erschienen in: Cryptography and Communications 6/2018

24.10.2017

On the nonlinearity of monotone Boolean functions

verfasst von: Claude Carlet

Erschienen in: Cryptography and Communications | Ausgabe 6/2018

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

We prove a conjecture on the nonlinearity of monotone Boolean functions in even dimension, proposed in the recent paper “Cryptographic properties of monotone Boolean functions”, by Carlet et al. (J. Math. Cryptol. 10(1), 1–14, 2016). We also prove an upper bound on such nonlinearity, which is asymptotically much stronger than the conjectured upper bound and than the upper bound proved for odd dimension in this same paper. Contrary to these two previous bounds, which were not tight enough for allowing to clarify if monotone functions can have good nonlinearity, this new bound shows that the nonlinearity of monotone functions is always very bad, which represents a fatal cryptographic weakness of monotone Boolean functions; they are too closely approximated by affine functions for being usable as nonlinear components in cryptographic applications. We deduce a necessary criterion to be satisfied by a Boolean (resp. vectorial) function for being nonlinear.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Anhänge
Nur mit Berechtigung zugänglich
Fußnoten
1
Which states that for every Boolean function f over \(\mathbb {F}_{2}^{n}\), for every vector subspace E of \(\mathbb {F}_{2}^{n}\), and every elements a and b of \(\Bbb {F}_{2}^{n}\), we have \({\sum }_{\mathbf {u}\in \mathbf {a}+E}(-1)^{\mathbf {b}\cdot \mathbf {u}}\, W_{f}(\mathbf {u})= |E|\,(-1)^{\mathbf {a}\cdot \mathbf {b}}\, {\sum }_{\mathbf {x}\in \mathbf {b}+E^{\perp }}(-1)^{f(\mathbf {x})+\mathbf {a}\cdot \mathbf {x}}\), where E denotes the orthogonal of E, see e.g. in [6].
 
2
It is rare that this formula needs to be used for Boolean functions rather than the simpler Poisson formula; it is interesting to find such situation (here and in the next section as well).
 
Literatur
1.
Zurück zum Zitat Alon, N., Spencer, J.H.: The Probabilistic Method, 2nd edn. Wiley-VCH, New York (2000)CrossRef Alon, N., Spencer, J.H.: The Probabilistic Method, 2nd edn. Wiley-VCH, New York (2000)CrossRef
2.
Zurück zum Zitat Blum, A., Burch, C., Langford, J.: On learning monotone Boolean functions. In: Proceedings of the 39th FOCS, pp. 408–415. IEEE Computer Society Press (1998) Blum, A., Burch, C., Langford, J.: On learning monotone Boolean functions. In: Proceedings of the 39th FOCS, pp. 408–415. IEEE Computer Society Press (1998)
3.
Zurück zum Zitat Blum, A., Furst, M., Kearns, M., Lipton, R.: Cryptographic primitives based on hard learning problems. In: Proceedings of Advances in Cryptology—CRYPTO’93, number 773 in LNCS, pp. 278–291. Springer, Berlin (1993) Blum, A., Furst, M., Kearns, M., Lipton, R.: Cryptographic primitives based on hard learning problems. In: Proceedings of Advances in Cryptology—CRYPTO’93, number 773 in LNCS, pp. 278–291. Springer, Berlin (1993)
5.
Zurück zum Zitat Canteaut, A., Carlet, C., Charpin, P., Fontaine, C.: On cryptographic properties of the cosets of R(1,m). IEEE Trans. Inf. Theory 47(4), 1494–1513 (2001)MathSciNetCrossRefMATH Canteaut, A., Carlet, C., Charpin, P., Fontaine, C.: On cryptographic properties of the cosets of R(1,m). IEEE Trans. Inf. Theory 47(4), 1494–1513 (2001)MathSciNetCrossRefMATH
8.
Zurück zum Zitat Carlet, C., Joyner, D., Stănică, P., Tang, D.: Cryptographic properties of monotone Boolean functions. J. Math. Cryptol. 10(1), 1–14 (2016)MathSciNetCrossRefMATH Carlet, C., Joyner, D., Stănică, P., Tang, D.: Cryptographic properties of monotone Boolean functions. J. Math. Cryptol. 10(1), 1–14 (2016)MathSciNetCrossRefMATH
9.
Zurück zum Zitat Crama, Y., Hammer, P.L.: Boolean Functions. Theory, Algorithms, and Applications. Cambridge University Press, Cambridge (2011)CrossRefMATH Crama, Y., Hammer, P.L.: Boolean Functions. Theory, Algorithms, and Applications. Cambridge University Press, Cambridge (2011)CrossRefMATH
10.
Zurück zum Zitat Dalai, D.K., Maitra, S., Sarkar, S.: Basic theory in construction of Boolean functions with maximum possible annihilator immunity. Des. Codes Cryptogr. 40(1), 41–58 (2006)MathSciNetCrossRefMATH Dalai, D.K., Maitra, S., Sarkar, S.: Basic theory in construction of Boolean functions with maximum possible annihilator immunity. Des. Codes Cryptogr. 40(1), 41–58 (2006)MathSciNetCrossRefMATH
11.
Zurück zum Zitat Dachman-Soled, D., Lee, H.K., Malkin, T., Servedio, R.A., Wan, A., Wee, H.: Optimal cryptographic hardness of learning monotone functions. Theory Comput. 5, 257–282 (2009)MathSciNetCrossRefMATH Dachman-Soled, D., Lee, H.K., Malkin, T., Servedio, R.A., Wan, A., Wee, H.: Optimal cryptographic hardness of learning monotone functions. Theory Comput. 5, 257–282 (2009)MathSciNetCrossRefMATH
12.
Zurück zum Zitat Mossel, E., O’Donnell, R.: On the noise sensitivity of monotone functions. Random Struct. Algorithms 23(3), 333–350 (2003)MathSciNetCrossRefMATH Mossel, E., O’Donnell, R.: On the noise sensitivity of monotone functions. Random Struct. Algorithms 23(3), 333–350 (2003)MathSciNetCrossRefMATH
Metadaten
Titel
On the nonlinearity of monotone Boolean functions
verfasst von
Claude Carlet
Publikationsdatum
24.10.2017
Verlag
Springer US
Erschienen in
Cryptography and Communications / Ausgabe 6/2018
Print ISSN: 1936-2447
Elektronische ISSN: 1936-2455
DOI
https://doi.org/10.1007/s12095-017-0262-5

Weitere Artikel der Ausgabe 6/2018

Cryptography and Communications 6/2018 Zur Ausgabe

OriginalPaper

Cyclic codes over