PROTECT: An Application of Computational Game Theory for the Security of the Ports of the United States

Building upon previous security applications of computational game theory, this paper presents PROTECT, a gametheoretic system deployed by the United States Coast Guard (USCG) in the port of Boston for scheduling their patrols. USCG has termed the deployment of PROTECT in Boston a success, and efforts are underway to test it in the port of New York, with the potential for nationwide deployment. PROTECT is premised on an attacker-defender Stackelberg game model and offers five key innovations. First, this system is a departure from the assumption of perfect adversary rationality noted in previous work, relying instead on a quantal response (QR) model of the adversary’s behavior — to the best of our knowledge, this is the first real-world deployment of the QR model. Second, to improve PROTECT’s efficiency, we generate a compact representation of the defender’s strategy space, exploiting equivalence and dominance. Third, we show how to practically model a real maritime patrolling problem as a Stackelberg game. Fourth, our experimental results illustrate that PROTECT’s QR model more robustly handles real-world uncertainties than a perfect rationality model. Finally, in evaluating PROTECT, this paper provides realworld data: (i) comparison of human-generated vs PROTECT security schedules, and (ii) results from an Adversarial Perspective Team’s (human mock attackers) analysis. 1

Authors

• Eric Shieh University of Southern California
• Bo An Nanyang Technological University Skywork AI
• Rong Yang University of Southern California
• Milind Tambe Harvard University Google Research
• Craig Baldwin United States Coast Guard
• Joseph DiRenzo United States Coast Guard
• Ben Maule United States Coast Guard
• Garrett Meyer United States Coast Guard

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