Scheduling Bodyguards

ABSTRACT Security agencies around the world use bodyguards to protect government officials and public figures. In this paper, we consider a two‐person zero‐sum game between a defender who allocates such bodyguards to protect several targets and an attacker who chooses one target to attack. Because the number of feasible bodyguard allocations grows quickly as either the number of targets or the number of bodyguards increases, solving the game by brute force with a linear program becomes computationally intractable for problems of practical size. By assuming that the marginal benefit of each additional bodyguard assigned to a target is nonincreasing, we show that we can solve the game with a different linear program whose size is linear in the number of targets and the number of bodyguards, respectively. Next, we extend the allocation game to a scheduling game, which allows a bodyguard to report to multiple targets if their schedules allow. We develop an algorithm to compute a bound on the value of this bodyguard scheduling game and present a mixed strategy that achieves this bound in all numerical experiments. Through a case study, we demonstrate how our bodyguard games can be deployed in the Netherlands.

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Publication Details

Journal
Naval Research Logistics (NRL)
Published
2025-09-21
DOI
https://doi.org/10.1002/nav.70006
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Scheduling Bodyguards

Kyle Y. Lin, Loe Schlicher, Moshe Kress
Naval Research Logistics (NRL)
Infrastructure Resilience and Vulnerability Analysis
article

Scheduling Bodyguards

Kyle Y. Lin, Loe Schlicher, Moshe Kress
article en

Abstract

ABSTRACT Security agencies around the world use bodyguards to protect government officials and public figures. In this paper, we consider a two‐person zero‐sum game between a defender who allocates such bodyguards to protect several targets and an attacker who chooses one target to attack. Because the number of feasible bodyguard allocations grows quickly as either the number of targets or the number of bodyguards increases, solving the game by brute force with a linear program becomes computationally intractable for problems of practical size. By assuming that the marginal benefit of each additional bodyguard assigned to a target is nonincreasing, we show that we can solve the game with a different linear program whose size is linear in the number of targets and the number of bodyguards, respectively. Next, we extend the allocation game to a scheduling game, which allows a bodyguard to report to multiple targets if their schedules allow. We develop an algorithm to compute a bound on the value of this bodyguard scheduling game and present a mixed strategy that achieves this bound in all numerical experiments. Through a case study, we demonstrate how our bodyguard games can be deployed in the Netherlands.

Naval Research Logistics (NRL)Vol. 73(3)
Naval Postgraduate School (US), Eindhoven University of Technology (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Peace, Justice and strong institutions
Openalex Percentile: Top 32%
Infrastructure Resilience and Vulnerability Analysis
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Scheduling Bodyguards — Kyle Y. Lin, Loe Schlicher, et al. · Naval Research Logistics (NRL) (2025) | TGRS Research Map | TGRS