My research studies problems concerning the security of
multi-robot systems, covering the key aspects such as
threat identification methodologies and countermeasure
developments. To ensure the security of multi-robot
systems with the given objectives, this study proposes an
attack diagnosis method and an attack-resilient control
system for multi-robot systems. The main tasks to be
achieved in this study are:
(1) types of attack that can occur on a robotic system and
corresponding system requirements are introduced to model
and understand how a cyber adversary may affect the system
operation;
(2) an attack diagnosis scheme is developed to enable an
agent in multi-robot systems continuously monitored for
anomalies caused by adversary actions;
(3) an attack-resilient controller is designed to adapt to
the abnormal situation so that the overall system
continues to satisfy its goal, thus mitigating the impact
of attacks;
(4) the performance of the proposed system is illustrated
and evalutated using real robots.
This work is sponsored by the U.S. Department of Justice.
