Title

eSHANCS: Evolving Simulated Human Activity on Networked Computer Systems

Presenter Information

Joshua James Herman

Department

Computer Science

Major

Computer Science

Research Advisor

Tauritz, Daniel R.
McMillin, Bruce M.

Advisor's Department

Computer Science

Second Advisor's Department

Computer Science

Funding Source

National Science Foundation’s Scholarship for Service

Abstract

Emulated computer networks are commonly used in cyber security research to evaluate attacker and defender strategies, but it is often trivial to detect adversaries in the absence of complex human user interactions, because irregular activity can be attributed to an adversary. The research proposed is to create a custom hyper-heuristic employing genetic programming that evolves computer agents capable of simulating the complex behavioral patterns exhibited by human users on a diverse set of networks. Previous research has been mostly limited to replays of user traffic which does not generalize well to different networks. The proposed approach will use anonymized, enterprise scale network traffic data sets provided by Los Alamos National Laboratory to train and test the system. The goal will be to have the entire population of agents act as a multi-agent simulation of human users with sufficient fidelity to provide network emulations capable of representing the real world.

Biography

Joshua Herman is an undergraduate student expecting to graduate with his B.S. in Computer Science at Missouri University of Science and Technology in May 2016. After graduating he will pursue a Ph.D. in Computer Science with an emphasis on cyber security and evolutionary computing at Missouri University of Science and Technology through the National Science Foundation’s Scholarship for Service. He is currently an undergraduate research assistant in the Natural Computation Laboratory supervised by Dr. Daniel Tauritz and Dr. Bruce McMillin. He has had two summer internships along with working year-round through telecommuting at Sandia National Laboratories.

Research Category

Research Proposals

Presentation Type

Poster Presentation

Document Type

Poster

Location

Upper Atrium/Hallway

Presentation Date

11 Apr 2016, 1:00 pm - 3:00 pm

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Apr 11th, 1:00 PM Apr 11th, 3:00 PM

eSHANCS: Evolving Simulated Human Activity on Networked Computer Systems

Upper Atrium/Hallway

Emulated computer networks are commonly used in cyber security research to evaluate attacker and defender strategies, but it is often trivial to detect adversaries in the absence of complex human user interactions, because irregular activity can be attributed to an adversary. The research proposed is to create a custom hyper-heuristic employing genetic programming that evolves computer agents capable of simulating the complex behavioral patterns exhibited by human users on a diverse set of networks. Previous research has been mostly limited to replays of user traffic which does not generalize well to different networks. The proposed approach will use anonymized, enterprise scale network traffic data sets provided by Los Alamos National Laboratory to train and test the system. The goal will be to have the entire population of agents act as a multi-agent simulation of human users with sufficient fidelity to provide network emulations capable of representing the real world.