3.9 Article

An evolutionary approach to construct cryptographically strong Boolean functions

出版社

SPRINGER INDIA
DOI: 10.1007/s13198-012-0089-6

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Evolutionary multi-objective optimization; NSGA-II; Boolean functions; Cryptography

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  1. Ministry of Human Resources and Development, Government of India

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Many desirable properties are known for Cryptographically strong Boolean functions. It is difficult task to get optimal trade-off among such properties. Nowadays, the design of strong cryptographic Boolean functions is a multi-objective problem. In this paper we have focused on nonlinearity, autocorrelation and resiliency, and explored an evolutionary approach to construct balanced Boolean functions having the best trade-off among them for 4 and 5 variables.

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