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P4Pir: in-network analysis for smart IoT gateways

Abstract:

IoT gateways are vital to the scalability and security of IoT networks. As more devices connect to the network, traditional hard-coded gateways fail to flexibly process diverse IoT traffic from highly dynamic devices. This calls for a more advanced analysis solution. In this poster, we present P4Pir, an in-network traffic analysis solution for IoT gateways. It utilizes programmable data planes for in-band traffic learning with self-driven machine learning model updates. Preliminary results sh...

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Publication status:
Accepted
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Jesus College
Role:
Author
ORCID:
0000-0003-1894-722X
Publisher:
Association for Computing Machinery Publisher's website
Host title:
Proceedings of the 36th ACM Special Interest Group on Data Communication (SIGCOMM 2022)
Acceptance date:
2022-06-21
Event title:
36th ACM Special Interest Group on Data Communication (SIGCOMM 2022)
Event location:
Amsterdam, Netherlands
Event website:
https://conferences.sigcomm.org/sigcomm/2022/
Event start date:
2022-08-22T00:00:00Z
Event end date:
2022-08-26T00:00:00Z
Language:
English
Keywords:
Pubs id:
1266029
Local pid:
pubs:1266029
Deposit date:
2022-06-29

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