IMG-DNA: Approximate DNA storage for images

Bingzhe Li, Li Ou, David Du

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Deoxyribonucleic Acid (DNA) as a storage medium with high density and long-term preservation properties can satisfy the requirement of archival storage for rapidly increased digital volume. The read and write processes of DNA storage are error-prone. Images widely used in social media have the properties of fault tolerance which are well fitted to the DNA storage. However, prior work simply investigated the feasibility of DNA storage storing different types of data and simply store images in DNA storage, which did not fully investigate the fault-tolerant potential of images in the DNA storage. In this paper, we proposed a new image-based DNA system called IMG-DNA, which can efficiently store images in DNA storage with improved DNA storage robustness. First, a new DNA architecture is proposed to fit JPEG-based images and improve the image's robustness in DNA storage. Moreover, barriers inserted in DNA sequences efficiently prevent error propagation in images of DNA storage. The experimental results indicate that the proposed IMG-DNA achieves much higher fault-tolerant than prior work.

Original languageEnglish (US)
Title of host publicationSYSTOR 2021 - Proceedings of the 14th ACM International Conference on Systems and Storage
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450383981
DOIs
StatePublished - Jun 14 2021
Event14th ACM International Conference on Systems and Storage, SYSTOR 2021 - Virtual, Online, Israel
Duration: Jun 14 2021Jun 16 2021

Publication series

NameSYSTOR 2021 - Proceedings of the 14th ACM International Conference on Systems and Storage

Conference

Conference14th ACM International Conference on Systems and Storage, SYSTOR 2021
Country/TerritoryIsrael
CityVirtual, Online
Period6/14/216/16/21

Bibliographical note

Funding Information:
We thank the anonymous reviewers and our shepherd, Ramnatthan Alagappan, for their valuable feedback. This work was partially supported by NSF I/UCRC Center Research in Intelligent Storage and the following NSF awards 1439622, 1525617, 1536447, and 1812537. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.

Publisher Copyright:
© 2021 ACM.

Keywords

  • Approximate storage
  • DNA storage
  • Image

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