Self-Driven Network for the University of Oregon

Presenter(s): Nolan Rudolph

Faculty Mentor(s): Ramakrishnan Durairajan

Data Story 2 CLN

Our nation has perpetually progressed toward an era of fully automated devices. Obliging by the expectations of the future, I intend to create a device for real time network monitoring and measurement with self remediation abilities that would allow University of Oregon (UO) to run on an entirely self reliant network. This device will be installed with unique software designed for UO to emulate a robust network. This project could benefit UO in a multitude of ways, but most importantly, the security of its network would heighten due to its ability to rapidly diagnose its current state and react accordingly.

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