Red Team vs Blue Team Exercises Student Team

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Red Team vs Blue Team Exercises Student Team: Liam Brew, Tanner Chiamprasert, Caroline Corr,

Red Team vs Blue Team Exercises Student Team: Liam Brew, Tanner Chiamprasert, Caroline Corr, Ronald Estevez, Shreena Mehta, Yousef Salaman Maclara Mentor: Dr. Jeff Nickerson, Dr. Barry Bunin HOMELAND SECURITY CHALLENGE Resource allocation routinely presents obstacles to interdiction of illegal drugs at United States ports. The team investigated the possibilities to aid Department of Homeland Security personnel to better react to the smuggling of drugs, specifically the synthetic opioid fentanyl. The team aimed to develop an adversarial simulation game to benefit the DHS in identifying strategies in order to better react to the fentanyl smuggling crisis at US ports. The data extracted from the usage of this game is to be used to track the highlight infiltration and defense trends that better the DHS approach to resource allocation at ports. OUTCOMES / RESULTS The team designed: • A moderate fidelity adversarial game • A database to process and track plays of the game • Graphic interpretations of strategies retrieved from data APPROACH / METHODOLOGY The team set off to create a deliverable of both an optimal fidelity simulation and an organized data collection service. To develop game simulation, the team used Java. Script because of its superiority in game-making visuals and functionality. The team then recorded the data documented from game-plays to deliver a service that tracks changes, strategies, and trends. Adversarial Game Design Data Collection Gameplay Functionality User Interface Organization Analysis CONCLUSION While this simulation is moderate fidelity, the data gathered provides a promising start in trying to find some optimal resource allocation strategies that the DHS can use in the future. ACKNOWLEDGEMENTS Dr. Jeff Nickerson – Stevens Institute of Technology Dr. Barry Bunin – Stevens Institute of Technology Ms. Beth De. Fares – Maritime Security Center This material is based upon work supported by the U. S. Department of Homeland Security under Cooperative Agreement No. 2014 -ST-061 -ML 0001. The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the U. S. Department of Homeland Security.