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dc.date.accessioned2023-01-05T16:32:48Z
dc.date.available2023-01-05T16:32:48Z
dc.date.created2021-12-06T19:30:40Z
dc.date.issued2021
dc.identifier.citationDzogovic, Bruno Tariq, Mahmood Santos, Bernardo Feng, Boning Do, Thuan Van Jacot, Niels Do, van Thanh . Advanced 5G Network Slicing Isolation Using Enhanced VPN+ for Healthcare Verticals. Smart Objects and Technologies for Social Good: 7th EAI International Conference, GOODTECHS 2021, Virtual Event, September 15–17, 2021, Proceedings. 2021, 121-135 Springer
dc.identifier.urihttp://hdl.handle.net/10852/98514
dc.description.abstractAlongside enabling connectivity for people and societies, the fifthGeneration networks (5G) aimed towards establishing an all-inclusive ecosystem for Internet of Things to sustain variety of industrial verticals such as e-health, smart home, smart city, etc. With the successful implementation of 5G infrastructure, it is understood that the traditional security approaches incorporated in the previous 4th generation networks (4G) may not suffice to protect users and industries from adversaries that develop more advanced attack vectors. This is mostly attributed the vulnerabilities imposed by softwareization (Softwareization of networks, clouds, and internet of things https://onlinelibrary.wiley.com/doi/ pdf/10.1002/nem.1967.) and virtualization of the network which compromise the isolation and protection of the 5G network slices essential for the support of IoT verticals. In this work, we propose an innovative approach to enhance the isolation of network slices by employing the Enhanced Virtual Private Network+ (VPN+) technology. Furthermore, we demonstrate the impact of an encrypted communication at the transport backhaul network in 5G scenario in terms of defensive success against virtualization layer attacks in the cloud.
dc.languageEN
dc.publisherSpringer
dc.relation.ispartofLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
dc.relation.ispartofseriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
dc.titleAdvanced 5G Network Slicing Isolation Using Enhanced VPN+ for Healthcare Verticals
dc.title.alternativeENEngelskEnglishAdvanced 5G Network Slicing Isolation Using Enhanced VPN+ for Healthcare Verticals
dc.typeChapter
dc.creator.authorDzogovic, Bruno
dc.creator.authorTariq, Mahmood
dc.creator.authorSantos, Bernardo
dc.creator.authorFeng, Boning
dc.creator.authorDo, Thuan Van
dc.creator.authorJacot, Niels
dc.creator.authorDo, van Thanh
cristin.unitcode185,15,5,45
cristin.unitnameML Maskinlæring
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.fulltextpostprint
dc.identifier.cristin1965301
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.btitle=Smart Objects and Technologies for Social Good: 7th EAI International Conference, GOODTECHS 2021, Virtual Event, September 15–17, 2021, Proceedings&rft.spage=121&rft.date=2021
dc.identifier.startpage121
dc.identifier.endpage135
dc.identifier.pagecount327
dc.identifier.doihttps://doi.org/10.1007/978-3-030-91421-9_10
dc.type.documentBokkapittel
dc.type.peerreviewedPeer reviewed
dc.source.isbn978-3-030-91420-2
dc.type.versionAcceptedVersion
cristin.btitleSmart Objects and Technologies for Social Good: 7th EAI International Conference, GOODTECHS 2021, Virtual Event, September 15–17, 2021, Proceedings


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