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Computer Science > Information Theory

arXiv:2208.03864 (cs)
[Submitted on 8 Aug 2022]

Title:Minimal Binary Linear Codes from Vectorial Boolean Functions

Authors:Yanjun Li, Jie Peng, Haibin Kan, Lijing Zheng
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Abstract:Recently, much progress has been made to construct minimal linear codes due to their preference in secret sharing schemes and secure two-party computation. In this paper, we put forward a new method to construct minimal linear codes by using vectorial Boolean functions. Firstly, we give a necessary and sufficient condition for a generic class of linear codes from vectorial Boolean functions to be minimal. Based on that, we derive some new three-weight minimal linear codes and determine their weight distributions. Secondly, we obtain a necessary and sufficient condition for another generic class of linear codes from vectorial Boolean functions to be minimal and to be violated the AB condition. As a result, we get three infinite families of minimal linear codes violating the AB condition. To the best of our knowledge, this is the first time that minimal liner codes are constructed from vectorial Boolean functions. Compared with other known ones, in general the minimal liner codes obtained in this paper have higher dimensions.
Subjects: Information Theory (cs.IT)
Cite as: arXiv:2208.03864 [cs.IT]
  (or arXiv:2208.03864v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2208.03864

Submission history

From: Jie Peng [view email]
[v1] Mon, 8 Aug 2022 01:42:17 UTC (23 KB)
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