Convolutional code theory based steganography technique

Steganography, as it is known, is a technique to hide a secret message within a message or collection of data that is not secret, and a problem in mathematics is to decipher the secret included in the message, to solve this problem a good tool It is the theory of codes. Unlike the existing works tha...

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Autores: García Planas, María Isabel|||0000-0001-7418-7208, Um, Laurence Emilie
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/381328
Acceso en línea:https://hdl.handle.net/2117/381328
https://dx.doi.org/10.46300/9106.2022.16.100
Access Level:acceso abierto
Palabra clave:Coding theory
Steganography
Convolutional codes
Coding
Decoding
Syndrome
Linear Systems
Codificació, Teoria de la
Àrees temàtiques de la UPC::Matemàtiques i estadística
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spelling Convolutional code theory based steganography techniqueGarcía Planas, María Isabel|||0000-0001-7418-7208Um, Laurence EmilieCoding theorySteganographyConvolutional codesCodingDecodingSyndromeLinear SystemsCodificació, Teoria de laÀrees temàtiques de la UPC::Matemàtiques i estadísticaSteganography, as it is known, is a technique to hide a secret message within a message or collection of data that is not secret, and a problem in mathematics is to decipher the secret included in the message, to solve this problem a good tool It is the theory of codes. Unlike the existing works that use block codes to hide information using the steganographic process, in this work, we propose the use of convolutional coding theory in steganography to encrypt and decrypt messages methods to decrypt messages. Here, we suggest a steganographic protocol based on convolutional codes in which they are defined as discrete linear dynamical systems with which the properties on controllability and observability characteristic of linear systems theory can be applied, in particular the properties of output observability character which can be easily described using matrix language. The proposed decoding algorithm used for dissimulation is a linear decoding method, which has decreased both the time and space complexity, compared to the Viterbi decoding algorithm, sometimes used in other cases; indeed, we go from 2h .n to 2h=2.n, in memory space (with h: constraint height, and n: length of cover object). Moreover, the time complexity is better, while we can also denote that with the convolutional approach, we intend to take advantage of the time-depending transaction.Peer Reviewed20222022-03-1120232023-01-27journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/381328https://dx.doi.org/10.46300/9106.2022.16.100reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3813282026-05-27T15:37:01Z
dc.title.none.fl_str_mv Convolutional code theory based steganography technique
title Convolutional code theory based steganography technique
spellingShingle Convolutional code theory based steganography technique
García Planas, María Isabel|||0000-0001-7418-7208
Coding theory
Steganography
Convolutional codes
Coding
Decoding
Syndrome
Linear Systems
Codificació, Teoria de la
Àrees temàtiques de la UPC::Matemàtiques i estadística
title_short Convolutional code theory based steganography technique
title_full Convolutional code theory based steganography technique
title_fullStr Convolutional code theory based steganography technique
title_full_unstemmed Convolutional code theory based steganography technique
title_sort Convolutional code theory based steganography technique
dc.creator.none.fl_str_mv García Planas, María Isabel|||0000-0001-7418-7208
Um, Laurence Emilie
author García Planas, María Isabel|||0000-0001-7418-7208
author_facet García Planas, María Isabel|||0000-0001-7418-7208
Um, Laurence Emilie
author_role author
author2 Um, Laurence Emilie
author2_role author
dc.subject.none.fl_str_mv Coding theory
Steganography
Convolutional codes
Coding
Decoding
Syndrome
Linear Systems
Codificació, Teoria de la
Àrees temàtiques de la UPC::Matemàtiques i estadística
topic Coding theory
Steganography
Convolutional codes
Coding
Decoding
Syndrome
Linear Systems
Codificació, Teoria de la
Àrees temàtiques de la UPC::Matemàtiques i estadística
description Steganography, as it is known, is a technique to hide a secret message within a message or collection of data that is not secret, and a problem in mathematics is to decipher the secret included in the message, to solve this problem a good tool It is the theory of codes. Unlike the existing works that use block codes to hide information using the steganographic process, in this work, we propose the use of convolutional coding theory in steganography to encrypt and decrypt messages methods to decrypt messages. Here, we suggest a steganographic protocol based on convolutional codes in which they are defined as discrete linear dynamical systems with which the properties on controllability and observability characteristic of linear systems theory can be applied, in particular the properties of output observability character which can be easily described using matrix language. The proposed decoding algorithm used for dissimulation is a linear decoding method, which has decreased both the time and space complexity, compared to the Viterbi decoding algorithm, sometimes used in other cases; indeed, we go from 2h .n to 2h=2.n, in memory space (with h: constraint height, and n: length of cover object). Moreover, the time complexity is better, while we can also denote that with the convolutional approach, we intend to take advantage of the time-depending transaction.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-03-11
2023
2023-01-27
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/381328
https://dx.doi.org/10.46300/9106.2022.16.100
url https://hdl.handle.net/2117/381328
https://dx.doi.org/10.46300/9106.2022.16.100
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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