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
Link To Document :
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