A genetic strategy to design cellular automata based block ciphers

作者：

Highlights：

• A new dynamic and flexible construction of block ciphers is proposed using non uniform cellular automata.

• The proposed model enable the construction of a multidimensional space of cipher’s instances.

• The defined space is explored using genetic algorithms to find the optimal solution.

• The strict avalanche criterion is used as a fitness function.

• The obtained solution is benchmarked and shown to provide high security performances.

摘要

•A new dynamic and flexible construction of block ciphers is proposed using non uniform cellular automata.•The proposed model enable the construction of a multidimensional space of cipher’s instances.•The defined space is explored using genetic algorithms to find the optimal solution.•The strict avalanche criterion is used as a fitness function.•The obtained solution is benchmarked and shown to provide high security performances.

论文关键词：Cellular automata,Evolutionary computation,Block ciphers,Strict avalanche criterion

论文评审过程：Available online 11 July 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.06.048