A Dynamic Sliding Window Encoding for Secured DNA Data Storage Compliant With Biological and Indexing Constraints

In this paper, we propose a novel dynamic sliding window encoding for storing encrypted data in a DNA form taking into account biological constraints (G-C content and homopolymers) and prohibited nucleotide motifs used for data indexing. Its originality is twofold. First, it stands on a new dynamic encoding (DE) which takes advantage of variable length DNA codewords to encode binary data and to avoid homopolymers longer than N bases. Second, DE is combined with a sliding window strategy to detect whether a prohibited motif is about to appear. In this case, our proposal will add a non-coding base to the sequence to prevent the encoding of this motif. Unlike existing schemes, its scaling for high values of N and of prohibited motifs is extremely simple. It is furthermore independent of the cryptosystem. We provide the theoretical information rate of our proposal for a given number of prohibited motifs and a maximum homopolymer length. In general, it offers much higher performances, particularly in terms of information rate, than existing schemes while controlling G-C content with an extremely high probability. Moreover, experiments conducted with a recent DNA storage chain simulator show that our proposal does not require more copies than other encoding strategies for the correct reading of DNA sequences.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3560387
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

A Dynamic Sliding Window Encoding for Secured DNA Data Storage Compliant With Biological and Indexing Constraints

Sahar Haddad, Gouenou Coatrieux, Reda Bellafqira, Chloé Berton et al.
IEEE Access
DNA and Biological Computing
article

A Dynamic Sliding Window Encoding for Secured DNA Data Storage Compliant With Biological and Indexing Constraints

Sahar Haddad, Gouenou Coatrieux, Reda Bellafqira, Chloé Berton, Dominique Lavenier, Hélène Gasnier
article en

Abstract

In this paper, we propose a novel dynamic sliding window encoding for storing encrypted data in a DNA form taking into account biological constraints (G-C content and homopolymers) and prohibited nucleotide motifs used for data indexing. Its originality is twofold. First, it stands on a new dynamic encoding (DE) which takes advantage of variable length DNA codewords to encode binary data and to avoid homopolymers longer than N bases. Second, DE is combined with a sliding window strategy to detect whether a prohibited motif is about to appear. In this case, our proposal will add a non-coding base to the sequence to prevent the encoding of this motif. Unlike existing schemes, its scaling for high values of N and of prohibited motifs is extremely simple. It is furthermore independent of the cryptosystem. We provide the theoretical information rate of our proposal for a given number of prohibited motifs and a maximum homopolymer length. In general, it offers much higher performances, particularly in terms of information rate, than existing schemes while controlling G-C content with an extremely high probability. Moreover, experiments conducted with a recent DNA storage chain simulator show that our proposal does not require more copies than other encoding strategies for the correct reading of DNA sequences.

IEEE AccessVol. 13
Institut national de recherche en sciences et technologies du numérique (FR), Inserm (FR), Institut de Recherche en Informatique et Systèmes Aléatoires (FR), Anton Proksch Institut (AT), IMT Atlantique (FR), Laboratoire de Traitement de l'Information Médicale (FR), Université de Rennes (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 93%
DNA and Biological Computing
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