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
Citation:

To appear in Proceedings of the. Peer-to-peer Detection of DoS Attacks on City-Scale IoT Mesh Networks. IEEE SmartGridComm October 29-30, 2018.

Abstract:

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 benefits 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.

Publication Status:
To Appear
Publication Type:
Proceedings
Publication Date:
10/30/2018
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