2019
DOI: 10.48550/arxiv.1910.05190
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SADAN: Scalable Adversary Detection in Autonomous Networks

Tigist Abera,
Ferdinand Brasser,
Lachlan J. Gunn
et al.

Abstract: Autonomous collaborative networks of devices are emerging in numerous domains, such as self-driving cars, smart factories and critical infrastructure, generally referred to as IoT. Their autonomy and self-organization makes them especially vulnerable to attacks. Thus, such networks need a dependable mechanism to detect and identify attackers and enable appropriate reactions. However, current mechanisms to identify adversaries either require a trusted central entity or scale poorly.In this paper, we present SAD… Show more

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