Title of article
FINDING HIGHLY PROBABLE DIFFERENTIAL CHARACTERISTICS OF SUBSTITUTION-PERMUTATION NETWORKS USING GENETIC ALGORITHMS
Author/Authors
ABADI، M. نويسنده TARBIAT MODARES UNIVERSITY, P.O.BOX 14115-143, TEHRAN, IRAN , , SADEGHIYAN، B. نويسنده AMIRKABIR UNIVERSITY OF TECHNOLOGY, TEHRAN, IRAN , , GHAEMI، A. نويسنده FERDOWSI UNIVERSITY OF MASHHAD, MASHHAD, IRAN , , ALIPOUR، M. A. نويسنده UNIVERSITY OF KASHAN, KASHAN, IRAN ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2007
Pages
12
From page
45
To page
56
Abstract
In this paper, we propose a genetic algorithm, called GenSPN,
for finding highly probable differential characteristics of substitutionpermutation
networks (SPNs). A special fitness function and a heuristic
mutation operator have been used to improve the overall performance
of the algorithm. We report our results of applying GenSPN for finding
highly probable differential characteristics of Serpent block cipher. A
comparison of the resultant characteristics with the previously published
works shows that GenSPN can find differential characteristics of higher
probabilities.
Journal title
Iranian Journal of Mathematical Sciences and Informatics (IJMSI)
Serial Year
2007
Journal title
Iranian Journal of Mathematical Sciences and Informatics (IJMSI)
Record number
1986837
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