Demo: P4Xtnd: P4 programmability on resource constrained environments with extended network functionalities

Chamara Madarasingha*, Thilini Dahanayaka, Kanchana Thilakarathna, Suranga Seneviratne, Young Choon Lee, Salil S. Kanhere, Aruna Seneviratne, Phil Ridley

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

We present P4Xtnd, which implements P4 programmability on resource-constrained devices with extended network functionalities for malicious device identification in IoT networks. Compared to existing methods, P4Xtnd operates in realtime and distributed manner for traffic collection, running ML at P4 Data plane with Federated Learning. Moreover, algorithms are proposed for trust assessment of sensor devices and dynamic network slicing for effective network management. With three LAN networks P4Xtnd shows its ability to detect malicious activities at higher accuracy.

Original languageEnglish
Title of host publicationSIGCOMM Posters and Demos '24
Subtitle of host publicationproceedings of the 2024 SIGCOMM Poster and Demo Sessions
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages104-106
Number of pages3
ISBN (Electronic)9798400707179
DOIs
Publication statusPublished - 2024
Event2024 SIGCOMM Poster and Demo Sessions, SIGCOMM'24 - Sydney, Australia
Duration: 4 Aug 20248 Aug 2024

Conference

Conference2024 SIGCOMM Poster and Demo Sessions, SIGCOMM'24
Country/TerritoryAustralia
CitySydney
Period4/08/248/08/24

Keywords

  • P4 programming
  • In-network ML
  • Software Defined Networking

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