activity
20182025
most citedRedisGraph GraphBLAS Enabled Graph Database

26 citations · 128 across the 18 of their papers we have counts for

collaborators

18 papers

cs.NI2025

DBOS Network Sensing: A Web Services Approach to Collaborative Awareness

Sophia Lockton, Jeremy Kepner, Michael Stonebraker +26

DBOS (DataBase Operating System) is a novel capability that integrates web services, operating system functions, and database features to significantly reduce web-deployment effort…

cs.NI2024★ 2 cited

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

Jeremy Kepner, Hayden Jananthan, Michael Jones +26

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 ano…

cs.NI2024★ 8 cited

Anonymized Network Sensing Graph Challenge

Hayden Jananthan, Michael Jones, William Arcand +26

The MIT/IEEE/Amazon GraphChallenge encourages community approaches to developing new solutions for analyzing graphs and sparse data derived from social media, sensor feeds, and sci…

cs.CR2024★ 2 cited

Teaching Network Traffic Matrices in an Interactive Game Environment

Chasen Milner, Hayden Jananthan, Jeremy Kepner +7

The Internet has become a critical domain for modern society that requires ongoing efforts for its improvement and protection. Network traffic matrices are a powerful tool for unde…

cs.SI2023

Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations

Hayden Jananthan, Jeremy Kepner, Michael Jones +25

Expanding the scientific tools available to protect computer networks can be aided by a deeper understanding of the underlying statistical distributions of network traffic and thei…

cs.NI2023★ 3 cited

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

Jeremy Kepner, Michael Jones, Phil Dykstra +23

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 shared…