Peer-to-peer Detection of DoS Attacks on City-Scale IoT Mesh Networks
M.J. Rausch, V. B. Krishna, P. Gu, R. Chandra, B. Feddersen, A. Fawaz, and W. H. Sanders
Wireless IoT mesh networks are being widely deployed for use in applications, such as operational technology networks in power grids, city-scale surveillance, and monitoring. The beneļ¬ts of such networks, which may include missioncritical communications, can be undermined by an adversary who launches denial-of-service (DoS) attacks on them. In this paper, we present a peer-to-peer approach to detect and localize such adversaries by leveraging the topology of the mesh network. In doing so, we make three main contributions. First, we present insightsfromapreliminaryimplementationonastandards-based IoT platform used in real smart meter deployments. Second, we propose an optimal choice of peers that can help detect a jammed node, while minimizing the risk that the peers themselves have been jammed. Finally, we present a tool to help generate datasets of city-scale IoT mesh topologies for simulation studies.
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