Application of distributed computing and machine learning technologies to cybersecurity

SHIELD is a distributed cyber-security system that leverages Network Function Virtualisation for dynamically deploying virtual Network Security Functions. The security functions send network traffic’s monitoring data to a bigdata store. The Data Analysis and Remediation Engine executes security anal...

Descripción completa

Detalles Bibliográficos
Autores: Attak, Hamza, Combalia, Marc, Gardikis, Georgios, Gaston, Bernat, Jacquin, Ludovic, Litke, Antonis, Papadakis, Nikolaos K., Papadopoulos, Dimitris, Pastor, Antonio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
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:2072/531537
Acceso en línea:http://hdl.handle.net/2072/531537
https://zenodo.org/badge/DOI/10.5281/zenodo.3266038.svg
Access Level:acceso abierto
Palabra clave:Xarxes d'àrea extensa (Ordinadors)
Distributed Artificial Intelligence
Security
Cybersecurity
Artificial Intelligence & Big Data
Network Functions Virtualisation
621.3
id ES_80064e72fc4ebb3e339e9be8f6b1dea0
oai_identifier_str oai:recercat.cat:2072/531537
network_acronym_str ES
network_name_str España
repository_id_str
spelling Application of distributed computing and machine learning technologies to cybersecurityAttak, HamzaCombalia, MarcGardikis, GeorgiosGaston, BernatJacquin, LudovicLitke, AntonisPapadakis, Nikolaos K.Papadopoulos, DimitrisPastor, AntonioXarxes d'àrea extensa (Ordinadors)Distributed Artificial IntelligenceSecurityCybersecurityArtificial Intelligence & Big DataNetwork Functions Virtualisation621.3SHIELD is a distributed cyber-security system that leverages Network Function Virtualisation for dynamically deploying virtual Network Security Functions. The security functions send network traffic’s monitoring data to a bigdata store. The Data Analysis and Remediation Engine executes security analytics modules on top of monitoring data modules in order to detect threats. The security analytics heavily leverage Machine Learning algorithms for detecting anomalies and classifying threats. This paper presents the different Machine Learning algorithms and details the obtained results and the direction taken by the project with regards to its implementation, including business capabilities for the cybersecurity solution.2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion17 p.application/pdfhttp://hdl.handle.net/2072/531537https://zenodo.org/badge/DOI/10.5281/zenodo.3266038.svgRECERCAT (Dipòsit de la Recerca de Catalunya)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésComputer & Electronics Security Applications Rendez-vous (C&ESAR), Rennes, 2018.L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons:http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:2072/5315372026-05-29T05:05:01Z
dc.title.none.fl_str_mv Application of distributed computing and machine learning technologies to cybersecurity
title Application of distributed computing and machine learning technologies to cybersecurity
spellingShingle Application of distributed computing and machine learning technologies to cybersecurity
Attak, Hamza
Xarxes d'àrea extensa (Ordinadors)
Distributed Artificial Intelligence
Security
Cybersecurity
Artificial Intelligence & Big Data
Network Functions Virtualisation
621.3
title_short Application of distributed computing and machine learning technologies to cybersecurity
title_full Application of distributed computing and machine learning technologies to cybersecurity
title_fullStr Application of distributed computing and machine learning technologies to cybersecurity
title_full_unstemmed Application of distributed computing and machine learning technologies to cybersecurity
title_sort Application of distributed computing and machine learning technologies to cybersecurity
dc.creator.none.fl_str_mv Attak, Hamza
Combalia, Marc
Gardikis, Georgios
Gaston, Bernat
Jacquin, Ludovic
Litke, Antonis
Papadakis, Nikolaos K.
Papadopoulos, Dimitris
Pastor, Antonio
author Attak, Hamza
author_facet Attak, Hamza
Combalia, Marc
Gardikis, Georgios
Gaston, Bernat
Jacquin, Ludovic
Litke, Antonis
Papadakis, Nikolaos K.
Papadopoulos, Dimitris
Pastor, Antonio
author_role author
author2 Combalia, Marc
Gardikis, Georgios
Gaston, Bernat
Jacquin, Ludovic
Litke, Antonis
Papadakis, Nikolaos K.
Papadopoulos, Dimitris
Pastor, Antonio
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Xarxes d'àrea extensa (Ordinadors)
Distributed Artificial Intelligence
Security
Cybersecurity
Artificial Intelligence & Big Data
Network Functions Virtualisation
621.3
topic Xarxes d'àrea extensa (Ordinadors)
Distributed Artificial Intelligence
Security
Cybersecurity
Artificial Intelligence & Big Data
Network Functions Virtualisation
621.3
description SHIELD is a distributed cyber-security system that leverages Network Function Virtualisation for dynamically deploying virtual Network Security Functions. The security functions send network traffic’s monitoring data to a bigdata store. The Data Analysis and Remediation Engine executes security analytics modules on top of monitoring data modules in order to detect threats. The security analytics heavily leverage Machine Learning algorithms for detecting anomalies and classifying threats. This paper presents the different Machine Learning algorithms and details the obtained results and the direction taken by the project with regards to its implementation, including business capabilities for the cybersecurity solution.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/2072/531537
https://zenodo.org/badge/DOI/10.5281/zenodo.3266038.svg
url http://hdl.handle.net/2072/531537
https://zenodo.org/badge/DOI/10.5281/zenodo.3266038.svg
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Computer & Electronics Security Applications Rendez-vous (C&ESAR), Rennes, 2018.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 17 p.
application/pdf
dc.source.none.fl_str_mv RECERCAT (Dipòsit de la Recerca de Catalunya)
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
_version_ 1869411867859877888
score 15.811543

Similares en LA Referencia