Title

Galaxy: A Network Emulation Framework for Cybersecurity

Presenter Information

Adam Gausmann

Department

Computer Science

Major

Computer Science

Research Advisor

Tauritz, Daniel R.

Advisor's Department

Computer Science

Funding Source

Los Alamos National Laboratory / S&T -- Cyber Security Sciences Institute

Abstract

Modern society is increasingly threatened by cyber-attacks, ranging from organized crime to terrorists to adversarial foreign nation states. The asymmetric nature of cyber warfare puts cyber security practitioners at a great disadvantage; i.e., cyber attackers get to decide when and where to attack, without the need for a physical presence providing advance notice to the cyber defenders who must scramble to quickly determine that an attack is occurring, select an appropriate defense, and execute it. They would greatly benefit from the capability to model attacks and defense in order to prepare for a wide range of adversarial scenarios. Computer network emulations are required to create models with sufficient fidelity to usefully model the real-world. The existing publicly available network emulations do not provide sufficient low-level control for cyber security modeling. The goal of this project is creating a virtualized computer network emulation infrastructure with the required controllability, usability, and scalability.

Biography

Adam Gausmann is a sophomore in Computer Science and an Undergraduate Research Assistant in the Natural Computation Laboratory (NC-LAB) where he works on the Coevolving Attacker and Defender Strategies for Large Infrastructure Networks (CEADSLIN) project and serves as the System Administrator for the Laboratory.

Research Category

Engineering

Presentation Type

Poster Presentation

Document Type

Poster

Location

Upper Atrium

Presentation Date

17 Apr 2018, 1:00 pm - 4:00 pm

Comments

Joint Project with Clay McGinnis, Hannah Reinbolt, and Kevin Schoonover

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Apr 17th, 1:00 PM Apr 17th, 4:00 PM

Galaxy: A Network Emulation Framework for Cybersecurity

Upper Atrium

Modern society is increasingly threatened by cyber-attacks, ranging from organized crime to terrorists to adversarial foreign nation states. The asymmetric nature of cyber warfare puts cyber security practitioners at a great disadvantage; i.e., cyber attackers get to decide when and where to attack, without the need for a physical presence providing advance notice to the cyber defenders who must scramble to quickly determine that an attack is occurring, select an appropriate defense, and execute it. They would greatly benefit from the capability to model attacks and defense in order to prepare for a wide range of adversarial scenarios. Computer network emulations are required to create models with sufficient fidelity to usefully model the real-world. The existing publicly available network emulations do not provide sufficient low-level control for cyber security modeling. The goal of this project is creating a virtualized computer network emulation infrastructure with the required controllability, usability, and scalability.