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arxiv logo>cs> arXiv:2409.10511
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Computer Science > Information Theory

arXiv:2409.10511 (cs)
[Submitted on 16 Sep 2024]

Title:Weak Superimposed Codes of Improved Asymptotic Rate and Their Randomized Construction

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Abstract:Weak superimposed codes are combinatorial structures related closely to generalized cover-free families, superimposed codes, and disjunct matrices in that they are only required to satisfy similar but less stringent conditions. This class of codes may also be seen as a stricter variant of what are known as locally thin families in combinatorics. Originally, weak superimposed codes were introduced in the context of multimedia content protection against illegal distribution of copies under the assumption that a coalition of malicious users may employ the averaging attack with adversarial noise. As in many other kinds of codes in information theory, it is of interest and importance in the study of weak superimposed codes to find the highest achievable rate in the asymptotic regime and give an efficient construction that produces an infinite sequence of codes that achieve it. Here, we prove a tighter lower bound than the sharpest known one on the rate of optimal weak superimposed codes and give a polynomial-time randomized construction algorithm for codes that asymptotically attain our improved bound with high probability. Our probabilistic approach is versatile and applicable to many other related codes and arrays.
Comments:6 pages, accepted for presentation at the 2022 IEEE International Symposium on Information Theory (ISIT)
Subjects:Information Theory (cs.IT)
Cite as:arXiv:2409.10511 [cs.IT]
 (orarXiv:2409.10511v1 [cs.IT] for this version)
 https://doi.org/10.48550/arXiv.2409.10511
arXiv-issued DOI via DataCite
Journal reference:Proc. IEEE International Symposium on Information Theory (ISIT), pp. 784-789, 2022
Related DOI:https://doi.org/10.1109/ISIT50566.2022.9834680
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Submission history

From: Yu Tsunoda [view email]
[v1] Mon, 16 Sep 2024 17:56:57 UTC (14 KB)
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