Linear cryptanalysis method for DES cipher
EUROCRYPT '93 Workshop on the theory and application of cryptographic techniques on Advances in cryptology
Applied cryptography (2nd ed.): protocols, algorithms, and source code in C
Applied cryptography (2nd ed.): protocols, algorithms, and source code in C
A New Version of the Stream Cipher SNOW
SAC '02 Revised Papers from the 9th Annual International Workshop on Selected Areas in Cryptography
On Differential Properties of Pseudo-Hadamard Transform and Related Mappings
INDOCRYPT '02 Proceedings of the Third International Conference on Cryptology: Progress in Cryptology
Efficient Algorithms for Computing Differential Properties of Addition
FSE '01 Revised Papers from the 8th International Workshop on Fast Software Encryption
Distinguishing Attacks on SOBER-t16 and t32
FSE '02 Revised Papers from the 9th International Workshop on Fast Software Encryption
Scream: A Software-Efficient Stream Cipher
FSE '02 Revised Papers from the 9th International Workshop on Fast Software Encryption
Cryptography: An Introduction
An improved correlation attack on a5/1
SAC'04 Proceedings of the 11th international conference on Selected Areas in Cryptography
Fast computation of large distributions and its cryptographic applications
ASIACRYPT'05 Proceedings of the 11th international conference on Theory and Application of Cryptology and Information Security
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Calculating the distribution of certain functions during the linear cryptanalysis of stream ciphers is a frequently encountered problem. Let a function N (or a noise variable) be expressed via k mutually independent and uniformly distributed n-bit random variables X1,X2, . . . , Xk. The possibility to construct its distribution depends on the form of the expression N, and sometimes it becomes a bottleneck of the cryptanalysis. In this paper we propose several new techniques to construct such distributions and widen the class of functions for which its distribution can efficiently be calculated.