Wide minimal binary linear codes from the general Maiorana-McFarland class
Wide minimal binary linear codes from the general Maiorana-McFarland class
复制标题
来自一般 Maiorana-McFarland 类的宽最小二进制线性码
DOI:
10.1007/s10623-021-00883-7
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Yongzhuang Wei
中科院分区:
文献类型:
--
作者:
Fengrong Zhang;Enes Pasalic;Rene Rodriguez;Yongzhuang Wei
Minimal linear codes form a special class of linear codes that have important applications in secret sharing and secure two-party computation. These codes are characterized by the property that linearly independent codewords do not cover each other. Denoting byandthe minimum and maximum weights of a binary code, respectively, such codes can be designed relatively easy when(the so-called Ashikhmin–Barg’s bound), whereas their construction becomes harder if. In this article, we extend the initiative originally taken by Dinget al.in to design minimal binary linear codes that satisfy, which are namedwidein this article. We first propose two generic methods for constructing wide minimal binary linear codes that use a class of general Maiorana-McFarland () functions. The first construction is similar to the one proposed by Ding et al. and the second construction is similar to the one recently provided by Mesnager et al. . Nevertheless, our constructions yield codes with better minimum distances in certain cases. The exact weight distributions of these codes are also provided. These approaches are then extended so that the dimension of the codes is increased. The dimension of the linear codederived from a Boolean functionfcan be increased by adjoining the codewords of, which refers to the code associated to a (suitable) derivative offat direction. Most notably, combining the direct sum of two Boolean functions and a suitable subspace of derivatives, we obtain wide minimal codes with a substantial larger dimension. Furthermore, these wide minimal codes feature a large minimum distance when employing some special classes of permutations, such as AB (almost bent) or the inverse function.