2021 Projects
- ATCorp
- Adventium Labs
- BCBSND
- BlenderRender
- Bushel
- CHAPS
- CSAIA
- Collins
- Inwerken
- John Deere
- Marvin
- Microsoft
- NAU
- Noridian
- OpenStack
- Pedigree
- Potlatch
- Scheels
- UGPTI
2020 Projects
- Adventium
- Aeritae
- Appareo
- BCBS
- Barginns
- Border States
- Botlink
- Bushel
- Capturis
- Collins
- Inwerken
- John Deere
- Marvin Windows
- Microsoft
- Nau Country
- Noridian
- Openstack
- Pedigree
- Scheels
- TBD(Deakin)
- UGPTI
2019 Projects
- ATC
- Adventium
- Aeritae
- Barginns
- Border States
- Capturis
- Collins
- Deakin
- Fjorge
- ICPE
- Integrity
- Microsoft
- Myriad Mobile
- NDSU CS
- Nau Country
- Noridian
- Omnibyte
- Openstack
- Pedigree
- Scheels
- Software Center
- UGPTI
2018 Projects
- ATC
- Adventium
- Aeritae
- Appareo
- Border States
- Capturis
- ControTech
- Fjorge
- Inwerken
- John Deere
- Microsoft
- NDSU Music
- Next
- Noridian
- OmniByte
- OrbitalATK
- Pedigree
- QBE NAU
- Rockwell Collins
- Software Center
- UGPTI
2017 Projects
- Adventium
- Botlink
- Data61
- Ericsson
- FBS
- Fjorge
- Humach
- IBM
- Integrity
- Intelligent Insights
- Inwerken
- John Deere
- Microsoft
- Mindroad
- Noridian
- Pedigree
- QBE NAU
- Sanford
- UGPTI
- Valley Express
2016 Projects
- ATC
- Adventium
- Bolder Thinking
- Capturis
- Data61
- FBS
- Fjorge
- IBM
- Integrity
- Inwerken
- John Deere
- Linkoping SMHI
- Microsoft
- NDSU IT Dept
- Noridian
- Rockwell Collins
- UGPTI
- Valley Express
2015 Projects
- ATC
- Adventium
- Bolder Thinking
- CNE
- Capturis
- Ericsson
- IBM
- Inwerken
- John Deere
- Microsoft
- NICTA
- Rockwell Collins
- UGPTI
- Valley Express
2014 Projects
- Bolder Thinking
- CNE
- FBS
- IBM
- Inwerken
- John Deere
- Microsoft
- NISC
- Rockwell Collins
- UGPTI
- Valley Express
2013 Projects
2012 Projects
- ATC
- Air Academy
- Bolder Thinking
- Combridge
- Douglas Scientific
- FBS
- IBM
- Microsoft
- NDSU CS (Denton)
- NDSU CS (Kong)
- NDSU CS (Walia)
- NISC
- Phoenix International
- RDO
- Rockwell Collins
- Syntronic
- UGPTI
2011 Projects
Adventium
Project Details
Description: Architecture Technology Corporation (ATC) wants us to research how to use machine learning in the realm of cyber security. Our task was to take publicly available datasets of network traffic information, format it, and pass it through a machine learning model. The end goal is to achieve a strong accuracy measure of our machine learning model, as well as produce research and scripts that can be expanded upon in future projects. The datasets used were DARPA and KDD'99, and the machine learning framework used was TensorFlow.