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  5. A Modified Watermark Synchronisation Code for Robust Embedding of Data in DNA
 
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A Modified Watermark Synchronisation Code for Robust Embedding of Data in DNA

Author(s)
Haughton, David  
Balado, Félix  
Uri
http://hdl.handle.net/10197/4371
Date Issued
2013-05-26
Date Available
2013-06-18T11:58:46Z
Abstract
DNA data embedding is a newly emerging field aspiring to encode
data in deoxyribonucleic acid (DNA). DNA is an inherently
digital and noisy medium, undergoing substitution, insertion and
deletion mutations. Hence, encoding information in DNA can be
seen as a particular case of digital communications in which biological
constraints must be observed. In this paper we propose a modification
of Davey and MacKay’s watermark synchronisation code
(unrelated to digital watermarking) to create an encoding procedure
more biocompatible with the host organism than previous methods.
In addition, when combined with a low density parity check (LDPC)
code, the method provides near-optimum error correction. We also
obtain the theoretical embedding capacity of DNA under substitution
mutations for the increased biocompatibility constraint. This result,
along with an existing bound on capacity for insertion and deletion
mutations, is compared to the proposed algorithm’s performance by
means of Monte Carlo simulations
Sponsorship
Science Foundation Ireland
Other Sponsorship
SFI Research Frontiers
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2013 by The Institute of Electrical and Electronics Engineers, Inc.
Subjects

DNA data embedding

Language
English
Status of Item
Peer reviewed
Journal
2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Proceedings
Conference Details
Poster presentation at the 38th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), May 23-31, 2013, Vancouver, Canada
ISSN
1520-6149
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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20130314070625_555627_4081.pdf

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Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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