Aerial Swarm Defense using Interception and Herding Strategies

TL;DR

This paper introduces a multi-mode defense approach combining interception and herding strategies, supported by optimization algorithms, to protect areas from diverse swarm attack behaviors, validated through simulations.

Contribution

It develops mixed integer programs and heuristics for dynamic defender assignment to intercept or herd attacking swarms with different behaviors.

Findings

Heuristic methods reduce computational costs compared to MIPs.

The approach effectively defends against various swarm attack strategies.

Simulations demonstrate the method's practical applicability.

Abstract

This paper presents a multi-mode solution to the problem of defending a circular protected area (target) from a wide range of attacks by swarms of risk-taking and/or risk-averse attacking agents (attackers). The proposed multi-mode solution combines two defense strategies, namely: 1) an interception strategy for a team of defenders to intercept multiple risk-taking attackers while ensuring that the defenders do not collide with each other, 2) a herding strategy to herd a swarm of risk-averse attackers to a safe area. In particular, we develop mixed integer programs (MIPs) and geometry-inspired heuristics to distribute and assign and/or reassign the defenders to interception and herding tasks under different spatiotemporal behaviors by the attackers such as splitting into smaller swarms to evade defenders easily or high-speed maneuvers by some risk-taking attackers to maximize damage to the protected area. We provide theoretical as well as numerical comparisons of the computational costs of these MIPs and the heuristics, and demonstrate the overall approach in simulations.