Enhancing network slice security via Artificial Intelligence: challenges and solutions
| Autor: | Suàrez, Luis, Espes, David, Parc, Philippe Le, Cuppens, Frédéric, Bertin, Philippe, Cao-Thanh Phan |
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| Přispěvatelé: | Institut de Recherche Technologique b-com (IRT b-com), Domaine Network (IRT b<>com) (Network), Lab-STICC_TB_CID_SFIIS, Département Réseaux, Sécurité et Multimédia (RSM), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Orange Labs [Cesson-Sévigné], Orange Labs |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Conférence C&ESAR 2018 Conférence C&ESAR 2018, Nov 2018, Rennes, France |
| Popis: | International audience; At this moment, the management of a network proposes new challenges for communication service providers (CSP). There is no human workforce capable to perform FCAPS (fault, configuration, accounting , performance and security) administration satisfying the exigent service level agreements to customers and keeping the same pace with respect to business. For 5G, one key challenge is the management of the security of network slices. The objective is to provide a review of Artificial Intelligence techniques applied to security in networking as well as a focus on the security challenges in network slicing, paying attention on how AI would help to solve the associated security issues for this enabling technology for 5G. |
| Databáze: | OpenAIRE |
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