Abstract | ||
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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. |
Year | DOI | Venue |
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2012 | 10.1007/s13198-012-0089-6 | Int. J. Systems Assurance Engineering and Management |
Keywords | Field | DocType |
Evolutionary multi-objective optimization, NSGA-II, Boolean functions, Cryptography | Maximum satisfiability problem,Boolean function,Cryptography,Theoretical computer science,Complexity index,Standard Boolean model,And-inverter graph,Boolean expression,Mathematics,Autocorrelation | Journal |
Volume | Issue | ISSN |
3 | 1 | 0976-4348 |
Citations | PageRank | References |
1 | 0.36 | 5 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rajni Goyal | 1 | 1 | 1.03 |
Shiv Prasad Yadav | 2 | 117 | 15.90 |