The autocorrelation distribution of balanced Boolean function

Yu ZHOU, Weiguo ZHANG, Juan LI, Xinfeng DONG, Guozhen XIAO

PDF(317 KB)
PDF(317 KB)
Front. Comput. Sci. ›› 2013, Vol. 7 ›› Issue (2) : 272-278. DOI: 10.1007/s11704-013-2013-x
RESEARCH ARTICLE

The autocorrelation distribution of balanced Boolean function

Author information +
History +

Abstract

The global avalanche characteristics (the sumof- squares indicator and the absolute indicator) measure the overall avalanche characteristics of a cryptographic Boolean function. Sung et al. (1999) gave the lower bound on the sumof- squares indicator for a balanced Boolean function satisfying the propagation criterion with respect to some vectors. In this paper, if balanced Boolean functions satisfy the propagation criterion with respect to some vectors, we give three necessary and sufficient conditions on the auto-correlation distribution of these functions reaching the minimum the bound on the sum-of-squares indicator. And we also find all Boolean functions with 3-variable, 4-variable, and 5-variable reaching the minimum the bound on the sum-of-squares indicator.

Keywords

Boolean functions / auto-correlation distribution / global avalanche characteristics / balanced / propagation criterion

Cite this article

Download citation ▾
Yu ZHOU, Weiguo ZHANG, Juan LI, Xinfeng DONG, Guozhen XIAO. The autocorrelation distribution of balanced Boolean function. Front Comput Sci, 2013, 7(2): 272‒278 https://doi.org/10.1007/s11704-013-2013-x

References

[1]
Adams C, Tavares S. Generating and counting binary bent sequences. IEEE Transactions on Information Theory, 1990, 36(5): 1170-1173
CrossRef Google scholar
[2]
Webster A F. Plaintext/ciphertext bit dependencies in cryptographic system. Master thesis, Department of Electrical Engineering, Queen’s University, Ontario, Cannada, 1985
[3]
Preneel B, Van Leekwijck W, Van Linden L, Govaerts R, Vandewalle J. Propagation characteristics of boolean functions. In: Proceedings of the Workshop on the Theory and Application of Cryptographic Techniques on Advances in Cryptology. 1991, 161-173
[4]
Zhang K, Zheng Y. GAC-the criterion for global avalance characteristics of cryptographic functions. Journal of Universal Computer Science, 1995, 1(5): 320-337
[5]
Son J, Lim J, Chee S, Sung S. Global avalanche characteristics and nonlinearity of balanced boolean functions. Information Processing Letters, 1998, 65(3): 139-144
CrossRef Google scholar
[6]
Sung S, Chee S, Park C. Global avalanche characteristics and propagation criterion of balanced boolean functions. Information Processing Letters, 1999, 69(1): 21-24
CrossRef Google scholar
[7]
Charpin P, Pasalic E. On propagation characteristics of resilient functions. In: Proceedings of the 9th Annual International Workshop on Selected Areas in Cryptography. 2002, 175-195
[8]
Zhou Y, Xie M, Xiao G. On the global avalanche characteristics between two boolean functions and the higher order nonlinearity. Information Sciences, 2010, 180(2): 256-265
CrossRef Google scholar
[9]
Zhang X, Zheng Y. Characterizing the structures of cryptographic functions satisfying the propagation criterion for almost all vectors. Designs, Codes and Cryptography, 1996, 7(1): 111-134
CrossRef Google scholar
[10]
Carlet C. Partially-bent functions. In: Proceedings of the 12th Annual International Cryptology Conference on Advances in Cryptology. 1992, 280-291
[11]
Meier W, Pasalic E, Carlet C. Algebraic attacks and decomposition of boolean functions. In: Proceedings of Advances in Cryptology- EUROCRYPT 2004: International Conference on the Theory and Applications of Cryptographic Techniques. 2004, 474-491
[12]
Zhou Y, Xiao G. On the equal-weight symmetric boolean functions. Frontiers of Computer Science in China, 2009, 3(4): 485-493
CrossRef Google scholar

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
AI Summary AI Mindmap
PDF(317 KB)

Accesses

Citations

Detail

Sections
Recommended

/