AI/ML for cybersecurity and robustness in optical networks: Key opportunities and challenges

The rapid evolution of optical networks has introduced new challenges in cybersecurity and network robustness, necessitating innovative solutions to ensure reliable and secure communication. This paper explores the opportunities and challenges of applying Artificial Intelligence (AI) and Machine Lea...

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Detalles Bibliográficos
Autores: Martínez Álvarez, David, Farreras Casamort, Miquel, Bergillos Pedraza, Sergi, Vilà Talleda, Pere, Fàbrega i Soler, Lluís, Bueno Delgado, Antonio, Calle Ortega, Eusebi
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2025
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/27200
Acceso en línea:http://hdl.handle.net/10256/27200
Access Level:acceso embargado
Palabra clave:Seguretat informática -- Congressos
Computer security -- Congresses
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spelling AI/ML for cybersecurity and robustness in optical networks: Key opportunities and challengesMartínez Álvarez, DavidFarreras Casamort, MiquelBergillos Pedraza, SergiVilà Talleda, PereFàbrega i Soler, LluísBueno Delgado, AntonioCalle Ortega, EusebiSeguretat informática -- CongressosComputer security -- CongressesThe rapid evolution of optical networks has introduced new challenges in cybersecurity and network robustness, necessitating innovative solutions to ensure reliable and secure communication. This paper explores the opportunities and challenges of applying Artificial Intelligence (AI) and Machine Learning (ML) techniques to enhance the security and resilience of optical networks. We present a comprehensive survey of current AI/ML applications in optical networks, focusing on anomaly detection, threat mitigation, and adaptive resource management. By highlighting current limitations and proposing future research directions, this paper aims to provide a roadmap for enhancing AI/ML-driven methods to build secure, robust, and efficient optical networksIEEEinfo2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionpeer-reviewedapplication/pdfhttp://hdl.handle.net/10256/27200© International Conference on Transparent Optical Networks (25è: 2025: Barcelona). 2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON): proceedings. IEEE, 2025Articles publicats (D-ATC)Martínez Álvarez, David Farreras Casamort, Miquel Bergillos Pedraza, Sergi Vilà Talleda, Pere Fàbrega i Soler, Lluís Bueno Delgado, Antonio Calle Ortega, Eusebi 2025 AI/ML for cybersecurity and robustness in optical networks: Key opportunities and challenges Proceedings 2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.1109/ICTON67126.2025.11125237info:eu-repo/semantics/altIdentifier/issn/2162-7339info:eu-repo/semantics/altIdentifier/eissn/2161-2064InChttps://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/embargoedAccessoai:recercat.cat:10256/272002026-05-29T05:05:01Z
dc.title.none.fl_str_mv AI/ML for cybersecurity and robustness in optical networks: Key opportunities and challenges
title AI/ML for cybersecurity and robustness in optical networks: Key opportunities and challenges
spellingShingle AI/ML for cybersecurity and robustness in optical networks: Key opportunities and challenges
Martínez Álvarez, David
Seguretat informática -- Congressos
Computer security -- Congresses
title_short AI/ML for cybersecurity and robustness in optical networks: Key opportunities and challenges
title_full AI/ML for cybersecurity and robustness in optical networks: Key opportunities and challenges
title_fullStr AI/ML for cybersecurity and robustness in optical networks: Key opportunities and challenges
title_full_unstemmed AI/ML for cybersecurity and robustness in optical networks: Key opportunities and challenges
title_sort AI/ML for cybersecurity and robustness in optical networks: Key opportunities and challenges
dc.creator.none.fl_str_mv Martínez Álvarez, David
Farreras Casamort, Miquel
Bergillos Pedraza, Sergi
Vilà Talleda, Pere
Fàbrega i Soler, Lluís
Bueno Delgado, Antonio
Calle Ortega, Eusebi
author Martínez Álvarez, David
author_facet Martínez Álvarez, David
Farreras Casamort, Miquel
Bergillos Pedraza, Sergi
Vilà Talleda, Pere
Fàbrega i Soler, Lluís
Bueno Delgado, Antonio
Calle Ortega, Eusebi
author_role author
author2 Farreras Casamort, Miquel
Bergillos Pedraza, Sergi
Vilà Talleda, Pere
Fàbrega i Soler, Lluís
Bueno Delgado, Antonio
Calle Ortega, Eusebi
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Seguretat informática -- Congressos
Computer security -- Congresses
topic Seguretat informática -- Congressos
Computer security -- Congresses
description The rapid evolution of optical networks has introduced new challenges in cybersecurity and network robustness, necessitating innovative solutions to ensure reliable and secure communication. This paper explores the opportunities and challenges of applying Artificial Intelligence (AI) and Machine Learning (ML) techniques to enhance the security and resilience of optical networks. We present a comprehensive survey of current AI/ML applications in optical networks, focusing on anomaly detection, threat mitigation, and adaptive resource management. By highlighting current limitations and proposing future research directions, this paper aims to provide a roadmap for enhancing AI/ML-driven methods to build secure, robust, and efficient optical networks
publishDate 2025
dc.date.none.fl_str_mv 2025
info
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
peer-reviewed
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10256/27200
url http://hdl.handle.net/10256/27200
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1109/ICTON67126.2025.11125237
info:eu-repo/semantics/altIdentifier/issn/2162-7339
info:eu-repo/semantics/altIdentifier/eissn/2161-2064
dc.rights.none.fl_str_mv InC
https://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/embargoedAccess
rights_invalid_str_mv InC
https://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv © International Conference on Transparent Optical Networks (25è: 2025: Barcelona). 2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON): proceedings. IEEE, 2025
Articles publicats (D-ATC)
Martínez Álvarez, David Farreras Casamort, Miquel Bergillos Pedraza, Sergi Vilà Talleda, Pere Fàbrega i Soler, Lluís Bueno Delgado, Antonio Calle Ortega, Eusebi 2025 AI/ML for cybersecurity and robustness in optical networks: Key opportunities and challenges Proceedings 2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812455

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