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Strong Linear Dependence and Unbiased Distribution of Non-propagative Vectors
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Strong Linear Dependence and Unbiased Distribution of Non-propagative Vectors
Yuliang Zheng6 and Xian-Mo Zhang7 
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School of Comp & Info Tech, Monash University, McMahons Road, Frankston, Melbourne, VIC, 3199, Australia |
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School of Info Tech & Comp Sci, The University of Wollongong, Wollongong, NSW, 2522, Australia |
Abstract
This paper proves (i) in any (n − 1)-dimensional linear sub-space, the non-propagative vectors of a function with n variables are linearly dependent, (ii) for this function, there exists a non-propagative vector in any (n − 2)-dimensional linear subspace and there exist three non-propagative vectors in any (n − 1)-dimensional linear subspace, except for those functions whose nonlinearity takes special values.
Keywords Cryptography - Boolean Function - Propagation - Nonlinearity
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