GrandDetAuto: Detecting Malicious Nodes in Large-Scale Autonomous Networks

Tigist Abera, Ferdinand Brasser, Lachlan J. Gunn, Patrick Jauernig, David Koisser, Ahmad‐Reza Sadeghi · 2021

Autonomous collaborative networks of devices are rapidly emerging in numerous domains, such as self-driving cars, smart factories, critical infrastructure, and Internet of Things in general. Although autonomy and self-organization are highly desired properties, they increase vulnerability to attacks. Hence, autonomous networks need dependable mechanisms to detect malicious devices in order to prevent compromise of the entire network. However, current mechanisms to detect malicious devices either require a trusted central entity or scale poorly.

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