Hybrid Testbed for Security Research in Software-Defined Networks

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

Abstract

Tele-operations require secure end-to-end Network Slicing leveraging Software-Defined Networking to meet the diverse requirements of multi-modal data streams. Research on network slicing needs tools to develop prototypes quickly that work on emulation and practical deployment. However, state-of-the-art tools focus only on emulation, needing more support for a mixed testbed, including hardware devices. We decouple the topology generating from the actual deployment on destination domains and apply a divide-and-conquer approach. The master coordinator generates an Intermediate Representation (IR) layer, a serialization of the topology. Via a toolchain, the worker coordinators at autonomous systems convert the IR into full or partial deployment scripts. The testbed introduces a marginal overhead by design, allowing for flexible deployment of complex topologies to study secure end-to-end Network Slicing.

Details

Original languageEnglish
Title of host publication2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings
EditorsFrank H.P. Fitzek, Larry Horner, Molka Gharbaoui, Giang Nguyen, Rentao Gu, Tobias Meuser
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages147-152
Number of pages6
ISBN (electronic)979-8-3503-0254-7
Publication statusPublished - 2023
Peer-reviewedYes

Publication series

SeriesIEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)

Conference

Title2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023
Duration7 - 9 November 2023
CityDresden
CountryGermany

External IDs

ORCID /0000-0001-7008-1537/work/160479877

Keywords

Keywords

  • LXC, Network Function Virtualization, OpenFlow, Secure Network Slicing, Software-Defined Networks