Methods for Adapative Autonomous Drone Swarm Attack Resilience

M. Borowczak, S. Wolf
University of Wyoming / CEDAR, Wyoming, United States

Keywords: autonmous systems, uav, smart-sat, lightweight system

Lightweight Autonomous Vehicles swarms are vulnerable to several classes of attacks (from brute force elimination to more advanced capture and corralling). We present co-existing solutions to combat attack against multiple classes of attacks that are likely to be leveraged against micro-drone-swarms. The methods used also apply for smart-sats. The SHARKS protocol enables autonomous swarm redistribution without intervention while the new ejection protection mechanism introduces nonlinear dynamics to individual drone moments that enable capture avoidance while also maintaining completion of swarm objectives.