activity
20162026
most citedAssociative Array Model of SQL, NoSQL, and NewSQL Databases

26 citations · 155 across the 46 of their papers we have counts for

collaborators
Showing cs.NIShow all

11 papers · 1 filter

cs.NI2026

Analyzing 10 Petabit/s Network Data with Accelerated Associative (Token) Arrays

Jeremy Kepner, Hayden Jananthan, LaToya Anderson +19

As networks expand and become an ever more critical infrastructure to modern society the need to analyze these networks with the highest regard for privacy is essential to ensure t…

cs.NI2026

Improving the Graph Challenge Reference Implementation

Inna Voloshchuk, Hayden Jananthan, Chansup Byun +1

The MIT/IEEE/Amazon Graph Challenge provides a venue for individuals and teams to showcase new innovations in large-scale graph and sparse data analysis. The Anonymized Network Sen…

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.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…

cs.NI2023★ 6 cited

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

Michael Jones, Jeremy Kepner, Andrew Prout +20

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, performan…

cs.NI2022

Hypersparse Network Flow Analysis of Packets with GraphBLAS

Tyler Trigg, Chad Meiners, Sandeep Pisharody +23

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…

cs.NI2022★ 8 cited

Large Scale Enrichment and Statistical Cyber Characterization of Network Traffic (Enriquecimiento a gran escala y caracterización cibernética estadística del tráfico de red)

Ivan Kawaminami, Arminda Estrada, Youssef Elsakkary +9

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 chal…

cs.NI2022★ 4 cited

Temporal Correlation of Internet Observatories and Outposts

Jeremy Kepner, Michael Jones, Daniel Andersen +26

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. Und…

cs.NI2022★ 11 cited

GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Traffic

Michael Jones, Jeremy Kepner, Daniel Andersen +25

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 o…