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DTSTART:19700308T020000
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DTSTAMP:20260522T150118Z
LOCATION:D163
DTSTART;TZID=America/Chicago:20181111T120000
DTEND;TZID=America/Chicago:20181111T123000
UID:submissions.supercomputing.org_SC18_sess159_ws_indis109@linklings.com
SUMMARY:Tracking Network Flows with P4
DESCRIPTION:Joseph Hill, Mitchell Aloserij, and Paola Grosso (University o
 f Amsterdam)\n\nTracking flows within a single device, as well as tracking
  the full path a flow takes in a network, are core components in securing 
 networks. Malicious traffic can be easily identified and its source blocke
 d. Traditional methods have performance and precision shortcomings, while 
 new programmable devices open up new possibilities. In this paper we prese
 nt methods based on the P4 programming language that allow to track flows 
 in a device, as well methods toward full path tracking. A core component o
 f this work are Bloom filters, which we have implemented fully in P4. To v
 alidate our approach and implementation we have carried a study in a speci
 fic use case, namely the detection of SYN attacks.\n\nTag: Architectures, 
 Networks, Security\n\nRegistration Category: Workshop Reg Pass\n\nSession 
 Chairs: Ilya Baldin (Thomas Jefferson National Accelerator Facility); Paol
 a Grosso (University of Amsterdam, Netherlands); Mary Hester (Dutch Nation
 al Institute for Subatomic Physics); and Michelle Zhu (Montclair State Uni
 versity)\n\n
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