Crowd Vetting: Rejecting Adversaries via Collaboration With Application to Multirobot Flocking

In this article, we characterize the advantage of using a robot's neighborhood to find and eliminate adversarial robots in the presence of a Sybil attack. We show that by leveraging the opinions of their neighbors on the trustworthiness of transmitted data, robots can detect adversaries with hi...

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Vydané v:	IEEE transactions on robotics Ročník 38; číslo 1; s. 5 - 24
Hlavní autori:	Mallmann-Trenn, Frederik, Cavorsi, Matthew, Gil, Stephanie
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Collision avoidance Distributed robot systems Moving targets Multiple robots multirobot systems networked robots Resilience resilient coordination Robot kinematics Robots Social networking (online) Target tracking Tracking Vehicle dynamics
ISSN:	1552-3098, 1941-0468
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