On-demand Key Distribution for Cloud Networks
2021 (English)In: 2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2021, Institute of Electrical and Electronics Engineers Inc. , 2021, p. 80-82Conference paper, Published paper (Refereed)
Abstract [en]
Emerging fine-grained cloud resource billing creates incentives to review the software execution footprint in virtual environments. Operators can use novel virtual execution environments with ever lower overhead: from virtual machines to containers, to unikernels and serverless functions. However, the execution footprint of security mechanisms in virtualized deployments has either remained the same or even increased. In this demo, we present a novel key provisioning mechanism for cloud networks that unlocks scalable use of symmetric keys and significantly reduces the related computational load on network endpoints
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021. p. 80-82
Keywords [en]
Computer networks, Information systems, Cloud networks, Computational loads, Fine grained, Key distribution, Security mechanism, Software execution, Symmetric keys, Virtual execution environments, Network security
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ri:diva-53021DOI: 10.1109/ICIN51074.2021.9385528Scopus ID: 2-s2.0-85104189111ISBN: 9781728177052 (print)OAI: oai:DiVA.org:ri-53021DiVA, id: diva2:1557372
Conference
24th Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2021, 1 March 2021 through 4 March 2021
Note
Funding details: 826093, 952652; Funding details: Horizon 2020 Framework Programme, H2020; Funding details: Stiftelsen för Strategisk Forskning, SSF, RTT17-0035; Funding details: VINNOVA; Funding text 1: This work was supported in part by the Swedish Foundation for Strategic Research, grant RTT17-0035; by VINNOVA and the Celtic-Next project C.RITISEC; by the H2020 projects SIFIS-Homc and ASC.LEPIOS (Grant agreements 952652 and 826093); and by the Wallenberg AI, Autonomous Systems and Software Program (WASP)
2021-05-252021-05-252023-05-25Bibliographically approved