期刊
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT
卷 3, 期 1, 页码 1-5出版社
SPRINGER INDIA
DOI: 10.1007/s13198-012-0089-6
关键词
Evolutionary multi-objective optimization; NSGA-II; Boolean functions; Cryptography
资金
- Ministry of Human Resources and Development, Government of India
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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