# Defending a City from Multi-Drone Attacks: A Sequential Stackelberg Security Games Approach

arXiv: https://arxiv.org/abs/2508.11380 · HTML: https://mlsanity.com/paper/2508.11380/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Aug 2025.

## Built on by (most cited first, 1 of 1)

- [Can Semantic Methods Enhance Team Sports Tactics? A Methodology for Football with Broader Applications](https://mlsanity.com/paper/2601.00421/) (2026)

## Abstract (arXiv)

To counter an imminent multi-drone attack on a city, defenders have deployed drones across the city. These drones must intercept/eliminate the threat, thus reducing potential damage from the attack. We model this as a Sequential Stackelberg Security Game, where the defender first commits to a mixed sequential defense strategy, and the attacker then best responds. We develop an efficient algorithm called S2D2, which outputs a defense strategy. We demonstrate the efficacy of S2D2 in extensive experiments on data from 80 real cities, improving the performance of the defender in comparison to greedy heuristics based on prior works. We prove that under some reasonable assumptions about the city structure, S2D2 outputs an approximate Strong Stackelberg Equilibrium (SSE) with a convenient structure.