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Hypersparse Traffic Matrices from Suricata Network Flows using GraphBLAS

Michael Houle
Hayden Jananthan
Peter Michaleas
Andrew Prout
Jeremy Kepner
Abstract

Hypersparse traffic matrices constructed from network packet source and destination addresses is a powerful tool for gaining insights into network traffic. SuiteSparse: GraphBLAS, an open source package or building, manipulating, and analyzing large hypersparse matrices, is one approach to constructing these traffic matrices. Suricata is a widely used open source network intrusion detection software package. This work demonstrates how Suricata network flow records can be used to efficiently construct hypersparse matrices using GraphBLAS.

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