Date of Award


Document Type


Degree Name

Master of Science in Cyber Operations


Department of Electrical and Computer Engineering

First Advisor

Barry E. Mullins, PhD.


This thesis develops and implements a process to rapidly respond to host level security events using a host agent, Software Defined Networking and OpenFlow updates, role based flow classes, and Advanced Messaging Queuing Protocol to automatically update configuration of switching devices and block malicious traffic. Results show flow table updates are made for all tested levels in less than 5.27 milliseconds and event completion time increased with treatment level as expected. As the number of events increases from 1,000 to 50,000, the design scales logarithmically caused mainly by message delivery time. Event processing throughput is limited primarily by the message rate of the agent (40 msg./sec.). Additionally, the maximum effective consume rate for the controller indicates this design is capable of supporting up to 380 hosts at one msg./sec. Finally, every event triggered is successfully processed for both experiments resulting in a 100 percent event success rate.

AFIT Designator


DTIC Accession Number