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Title: Resilience of Multi-robot Systems to Physical Masquerade Attacks
The advent of autonomous mobile multi-robot systems has driven innovation in both the industrial and defense sectors. The integration of such systems in safety- and security- critical applications has raised concern over their resilience to attack. In this work, we investigate the security problem of a stealthy adversary masquerading as a properly functioning agent. We show that conventional multi-agent pathfinding solutions are vulnerable to these physical masquerade attacks. Furthermore, we provide a constraint-based formulation of multi-agent pathfinding that yields multi-agent plans that are provably resilient to physical masquerade attacks. This formalization leverages inter-agent observations to facilitate introspective monitoring to guarantee resilience.  more » « less
Award ID(s):
1932162
PAR ID:
10175168
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
2019 IEEE Security and Privacy Workshops (SPW)
Page Range / eLocation ID:
120 to 125
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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