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X-WR-CALDESC:Events for P4 - Language Consortium
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250709T080000
DTEND;TZID=UTC:20250709T080000
DTSTAMP:20260531T165808
CREATED:20250912T220304Z
LAST-MODIFIED:20250915T225148Z
UID:10000128-1752048000-1752048000@p4.org
SUMMARY:P4 Developer Days - P4-based AI Feature Extractor for Volumetric Firewall Use Cases
DESCRIPTION:Date: July 9\, 2025Time 8:00am Pacific \nVIEW VIDEO \nVIEW SLIDES \nAbstract \nUsing volumetry data is a very important feature of many firewalls from major security vendors. The changing security landscape and a need for performance and flexibility drive the use of AI/ML engines working more efficiently. The presentation shows an example of the use of P4 language to prepare a training feature and an example of an inference engine using P4 as a feature extractor for the SYN-FLOOD attack detector. The P4\, as a packet processing language\, can be used to define the network traffic-based features for AI/ML processing. The AI/ML engines can be abstracted as P4 externs. The P4 defines what packet fields are of interest in AI/ML process. Such P4 engine implementation (based on hardware or software) can also prepare/preprocess the AI/ML engine input (for example\, rate of some packets or counter selection). It can also prepare the packet-based response using AI/ML external outcome. The presentation provides an overview of some challenges\, like a lack of standardized datasets and performance requirements. \nSpeaker\nMirek Walukiewicz is a Principal Engineer at Altera with more than 32 years of experience in networking technology. He is a Solution Architect actively working with customers on various P4 applications using FPGA-like security\, packet scheduling\, clock synchronization\, and more. He drives P4 efforts inside Altera. \n 
URL:https://p4.org/event/p4-developer-days-p4-based-ai-feature-extractor-for-volumetric-firewall-use-cases/
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