Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays

M Jones, J Kepner, A Prout, T Davis… - 2023 IEEE High …, 2023 - ieeexplore.ieee.org
Matrix/array analysis of networks can provide significant insight into their behavior and aid in
their operation and protection. Prior work has demonstrated the analytic, performance, and …

Graphblas on the edge: Anonymized high performance streaming of network traffic

M Jones, J Kepner, D Andersen, A Buluç… - 2022 IEEE High …, 2022 - ieeexplore.ieee.org
Long range detection is a cornerstone of defense in many operating domains (land, sea,
undersea, air, space,…,). In the cyber domain, long range detection requires the analysis of …

Large scale enrichment and statistical cyber characterization of network traffic

I Kawaminami, A Estrada, Y Elsakkary… - 2022 IEEE High …, 2022 - ieeexplore.ieee.org
Modern network sensors continuously produce enormous quantities of raw data that are
beyond the capacity of human analysts. Cross-correlation of network sensors increases this …

Anonymized Network Sensing Graph Challenge

H Jananthan, M Jones, W Arcand, D Bestor… - arXiv preprint arXiv …, 2024 - arxiv.org
The MIT/IEEE/Amazon GraphChallenge encourages community approaches to developing
new solutions for analyzing graphs and sparse data derived from social media, sensor …

Temporal correlation of internet observatories and outposts

J Kepner, M Jones, D Andersen, A Buluc… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
The Internet has become a critical component of modern civilization requiring scientific
exploration akin to endeavors to understand the land, sea, air, and space environments …

Hypersparse network flow analysis of packets with graphblas

T Trigg, C Meiners, S Pisharody… - 2022 IEEE High …, 2022 - ieeexplore.ieee.org
Internet analysis is a major challenge due to the volume and rate of network traffic. In lieu of
analyzing traffic as raw packets, network analysts often rely on compressed network flows …

Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices

J Kepner, M Jones, P Dykstra, C Byun… - 2023 IEEE High …, 2023 - ieeexplore.ieee.org
Defending community-owned cyber space requires community-based efforts. Large-scale
network observations that uphold the highest regard for privacy are key to protecting our …

What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic

J Kepner, H Jananthan, M Jones, W Arcand… - arXiv preprint arXiv …, 2024 - arxiv.org
Understanding what is normal is a key aspect of protecting a domain. Other domains invest
heavily in observational science to develop models of normal behavior to better detect …