Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Adversarial Impacts on Autonomous Decentralized Lightweight Swarms
The decreased size and cost of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) has enabled the use of swarms of unmanned autonomous vehicles to accomplish a variety of tasks. By utilizing swarming behaviors, it is possible to efficiently accomplish coordinated tasks while minimizing per-drone computational requirements. Some drones rely on decentralized protocols that exhibit emergent behavior across the swarm. While fully decentralized algorithms remove obvious attack vectors their susceptibility to external influence is less understood. This work investigates the influences that can compromise the functionality of an autonomous swarm leading to hazardous situations and cascading vulnerabilities. When a swarm is tasked with missions involving the safety or health of humans, external influences could have serious consequences. The adversarial swarm in this work utilizes an attack vector embedded within the decentralized movement algorithm of a previously defined autonomous swarm designed to create a perimeter sentry swarm. Various simulations confirm the adversarial swarm’s ability to capture significant portions (6-23%) of the perimeter.
Adversarial Impacts on Autonomous Decentralized Lightweight Swarms
The decreased size and cost of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) has enabled the use of swarms of unmanned autonomous vehicles to accomplish a variety of tasks. By utilizing swarming behaviors, it is possible to efficiently accomplish coordinated tasks while minimizing per-drone computational requirements. Some drones rely on decentralized protocols that exhibit emergent behavior across the swarm. While fully decentralized algorithms remove obvious attack vectors their susceptibility to external influence is less understood. This work investigates the influences that can compromise the functionality of an autonomous swarm leading to hazardous situations and cascading vulnerabilities. When a swarm is tasked with missions involving the safety or health of humans, external influences could have serious consequences. The adversarial swarm in this work utilizes an attack vector embedded within the decentralized movement algorithm of a previously defined autonomous swarm designed to create a perimeter sentry swarm. Various simulations confirm the adversarial swarm’s ability to capture significant portions (6-23%) of the perimeter.
Adversarial Impacts on Autonomous Decentralized Lightweight Swarms
Wolf, Shaya (Autor:in) / Cooley, Rafer (Autor:in) / Borowczak, Mike (Autor:in)
01.10.2019
410375 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
MANAGEMENT OF AUTONOMOUS SURFACE SWARMS
| British Library Online Contents | 2009
| DOAJ | 2024
Robotic Swarms in Architectural Design
| TIBKAT | 2020
Autonomous Decentralized FMS and its Efficient AGVs Control
| British Library Online Contents | 2012