Algorithm of reducing the balanced H-Boolean function correlation-measure and research on correlative issue

Took the derivative and e-derivative of Boolean function as a tool,analyzed the inner structure of balanced H-Boolean functions,clearly obtained the conclusion that the second-order correlation-immune balanced H-Boolean function is not existent,solved the problem that whether there was a second-orde...

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Bibliographic Details
Main Authors: HE Liang, WANG Zhuo, LI Wei-wei
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2010-01-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/74649374/
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Summary:Took the derivative and e-derivative of Boolean function as a tool,analyzed the inner structure of balanced H-Boolean functions,clearly obtained the conclusion that the second-order correlation-immune balanced H-Boolean function is not existent,solved the problem that whether there was a second-order correlation-immune balanced H-Boolean function which has not yet proper result.From the rationality of logic and theory,defined the necessity of discussing the generalized correlation-immune of balanced H-Boolean function for the security of cryptosystem.And through the analysis of generalized correlation-immunity and correlation-measure of balanced H-Boolean function,de-rived the algorithms which reduced the balanced H-Boolean function correlation-measure,and while increased the order of correlation-measure.
ISSN:1000-436X