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dc.contributor.authorDzogovic, Bruno
dc.contributor.authorSantos, Bernardo
dc.contributor.authorFeng, Boning
dc.contributor.authorDo, Thuan Van
dc.contributor.authorJacot, Niels
dc.contributor.authorDo, van Thanh
dc.date.accessioned2022-03-08T13:21:42Z
dc.date.available2022-03-08T13:21:42Z
dc.date.created2021-12-06T19:49:45Z
dc.date.issued2021-08-16
dc.identifier.isbn978-3-030-83164-6
dc.identifier.isbn978-3-030-83163-9
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/11250/2983806
dc.description.abstractNetwork slicing is the crucial prerogative that allows end users and industries to thrive from 5G infrastructures, however, such a logical network component can deteriorate from security vulnerabilities that prevail within cloud environments and datacenters. The Quality of Experience in 5G is a metric that takes into consideration sets of factors, which play role in the definition of the end-to-end performance, which is indeed latency, packet processing, utilization of legacy protocols, old hardware, encryption, non-optimized network topologies, routing problems and multitude of other aspects. This research sheds light on the inherent networking stack performance issues that translate into 5G environments, in a use-case where encrypted VPN tunneling is used to secure the backhaul transport network between the 4G/5G cores and the frontend networks.en_US
dc.description.sponsorshipThis paper is a result of the H2020 Concordia project (https://www.concordia-h2020.eu) which has received funding from the EU H2020 programme under grant agreement No 830927.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofMobile Web and Intelligent Information Systems: 17th International Conference, MobiWIS 2021, Virtual Event, August 23–25, 2021, Proceedings
dc.relation.ispartofseriesLecture Notes in Computer Science;Volume 12814
dc.subject5Gen_US
dc.subjectEnhanced VPN+en_US
dc.subjectVector Packet Processingen_US
dc.subjectFPGA SoCen_US
dc.titleOptimizing 5G VPN+ Transport Networks with Vector Packet Processing and FPGA Cryptographic Offloadingen_US
dc.typeConference objecten_US
dc.description.versionacceptedVersionen_US
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1007/978-3-030-83164-6_7
dc.identifier.cristin1965308
dc.source.journalLecture Notes in Computer Scienceen_US
dc.source.volume12814en_US
dc.source.issue12814en_US
dc.source.pagenumber14en_US
dc.relation.projectHorisont 2020: EC/H2020/830927en_US


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