We present a model for layered security with applications to the protection of sites such as stadiums or large gathering places. We formulate the problem as one of maximizing the capture of illegal contraband. The objective function is indefinite and only limited information can be gained when the problem is solved by standard convex optimization methods. In order to solve the model, we develop a dynamic programming approach, and study its convergence properties. Additionally, we formulate a version of the problem aimed at addressing intelligent adversaries who can adjust their direction of attack as they observe changes in the site security. Furthermore, we also develop a method for the solution of the latter model. Finally, we perform computational experiments to demonstrate the use of our methods.
@article{arxiv.2204.08961,
title = {Optimal Layered Defense For Site Protection},
author = {Tsvetan Asamov and Emre Yamangil and Endre Boros and Paul Kantor and Fred Roberts},
journal= {arXiv preprint arXiv:2204.08961},
year = {2022}
}