Galaxy: A Network Emulation Framework for Cybersecurity
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
Hannah Reinbolt is a Sophomore in Computer Science, and Undergraduate Research Assistant in the Natural Computation Laboratory working on the Coevolving Attacker and Defender Strategies for Large Infrastructure Networks (CEADS-LIN) project and Webmaster of Missouri University of Science and Technology’s (S&T’s) Association for Computing and Machinery (ACM) Student Chapter Special Interest Security Group.
Research Category
Engineering
Presentation Type
Poster Presentation
Document Type
Poster
Location
Upper Atrium
Presentation Date
17 Apr 2018, 1:00 pm - 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.
Comments
Joint Project with Clay McGinnis, Adam Gausmann, and Kevin Schoonover