On the embedding capacity of DNA strands under insertion, deletion and substitution mutations

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Title: On the embedding capacity of DNA strands under insertion, deletion and substitution mutations
Authors: Balado, Félix
Permanent link: http://hdl.handle.net/10197/1863
Date: Jan-2010
Abstract: A number of methods have been proposed over the last decade for embedding information within deoxyribonucleic acid (DNA). Since a DNA sequence is conceptually equivalent to a unidimensional digital signal, DNA data embedding (diversely called DNA watermarking or DNA steganography) can be seen either as a traditional communications problem or as an instance of communications with side information at the encoder, similar to data hiding. These two cases correspond to the use of noncoding or coding DNA hosts, which, respectively, denote DNA segments that cannot or can be translated into proteins. A limitation of existing DNA data embedding methods is that none of them have been designed according to optimal coding principles. It is not possible either to evaluate how close to optimality these methods are without determining the Shannon capacity of DNA data embedding. This is the main topic studied in this paper, where we consider that DNA sequences may be subject to substitution, insertion, and deletion mutations.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: SPIE--The International Society for Optical Engineering
Copyright (published version): 2010 Society of Photo-Optical Instrumentation Engineers
Keywords: DNA data embedding;Data hiding;Steganography;Shannon capacity
Subject LCSH: DNA
Cryptography
Data encryption (Computer science)
Digital communications
DOI: 10.1117/12.838537
Language: en
Status of Item: Peer reviewed
Is part of: Memon, N. D. et al. (eds.). Proceedings of SPIE-IS&T Electronic Imaging, SPIE Vol. 7541
Conference Details: Paper presented at Media Forensics and Security XII, SPIE-IS&T Electronic Imaging conference, 18–20 January 2010, San Jose, California
Appears in Collections:Computer Science Research Collection

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