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From Boolean to Multi-valued Bent Functions

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Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 349))

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Abstract

Bent functions are functions that have the largest distance to all linear functions. Due to this property bent functions hedge statistical attacks against cryptosystems. This contribution reflects some steps on the way of the specification of Boolean bent functions by O. S. Rothaus, over the description of such bent functions using Boolean differential equations by Bernd Steinbach, the enumeration of bent functions by Natalia Tokareva, the evaluation of classes of bent functions using the Special Normal Form (SNF) by Bernd Steinbach and Christian Posthoff, the embedding of bent functions into other properties needed in cryptosystems by Jon T. Buttler and Tsutomu Sasao, the extension of such properties by Chunhui Wu and Bernd Steinbach, to the generalization to multi-valued bent function by Claudio Moraga et al.

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Acknowledgments

We would like to thank Claudio Moraga for his constructive collaboration over many years and all his contributions to extend scientific insights.

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Correspondence to Bernd Steinbach .

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Steinbach, B. (2017). From Boolean to Multi-valued Bent Functions. In: Seising, R., Allende-Cid, H. (eds) Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing. Studies in Fuzziness and Soft Computing, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-319-48317-7_15

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  • DOI: https://doi.org/10.1007/978-3-319-48317-7_15

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