Peer-to-peer Detection of DoS Attacks on City-Scale IoT Mesh Networks

Michael J. Rausch, Varun Badrinath Krishna, Peng Gu, Rupak Chandra, Brett Feddersen, Ahmed Fawaz, William H. Sanders

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 mission critical 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 detecting and localizing such adversaries by leveraging the topology of the mesh network. In doing so, we make three main contributions. First, we present insights from a preliminary implementation on a standards-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 are jammed. Finally, we present a tool to help generate datasets of city-scale IoT mesh topologies for simulation studies.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538679548
DOIs
StatePublished - Dec 24 2018
Event2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018 - Aalborg, Denmark
Duration: Oct 29 2018Oct 31 2018

Publication series

Name2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018

Other

Other2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018
CountryDenmark
CityAalborg
Period10/29/1810/31/18

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology

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  • Cite this

    Rausch, M. J., Krishna, V. B., Gu, P., Chandra, R., Feddersen, B., Fawaz, A., & Sanders, W. H. (2018). Peer-to-peer Detection of DoS Attacks on City-Scale IoT Mesh Networks. In 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018 [8587518] (2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartGridComm.2018.8587518