Title
The Truman Show: Scalable generation of artificial network traffic for cyber security research
Date
Spring 4-2015
Document Type
Poster Session
Department
Technology
Advisor
Glenn Wilson
Keywords
Cyber Security, Artificial network Traffic
Abstract
Network traffic generation is a key component of the creation of a network simulation environment. In order to create a realistic simulation of a large scale network in action, it is necessary to have a large volume of user traffic. Past methods for providing user traffic, such as hiring users to manually generate traffic, or recording existing traffic of an active network, provide limited control. Managing and directing users is time consuming, and using existing traffic is restricted by recorded conditions. The Truman Show project provides an infinitely adjustable alternative by utilizing agent based modeling of individual users. An agent based model is a statistical method for modeling a system not as a single object, but as numerous subsystems. The Truman Show uses a similar methodology for the generation of network traffic by generating activity not from a single recording, or small handful of users, but with the creation of a master program that generates an infinitely scalable number of subprograms, each of which mimic real user behaviors
Start Date
April 2015
Recommended Citation
Wirth, Adam, "The Truman Show: Scalable generation of artificial network traffic for cyber security research" (2015). Thinking Matters Symposium Archive. 47.
https://digitalcommons.usm.maine.edu/thinking_matters/47
Comments
Maine Cyber Security Cluster