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

Fingerprint

Computer networks
Topology
Smart meters
Monitoring
Communication
Denial-of-service attack
Internet of things

ASJC Scopus subject areas

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

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

Peer-to-peer Detection of DoS Attacks on City-Scale IoT Mesh Networks. / Rausch, Michael J.; Krishna, Varun Badrinath; Gu, Peng; Chandra, Rupak; Feddersen, Brett; Fawaz, Ahmed; Sanders, William H.

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8587518 (2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018).

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

Rausch, MJ, Krishna, VB, Gu, P, Chandra, R, Feddersen, B, Fawaz, A & Sanders, WH 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., 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018, Aalborg, Denmark, 10/29/18. https://doi.org/10.1109/SmartGridComm.2018.8587518
Rausch MJ, Krishna VB, Gu P, Chandra R, Feddersen B, Fawaz A et al. 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. Institute of Electrical and Electronics Engineers Inc. 2018. 8587518. (2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018). https://doi.org/10.1109/SmartGridComm.2018.8587518
Rausch, Michael J. ; Krishna, Varun Badrinath ; Gu, Peng ; Chandra, Rupak ; Feddersen, Brett ; Fawaz, Ahmed ; Sanders, William H. / Peer-to-peer Detection of DoS Attacks on City-Scale IoT Mesh Networks. 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018).
@inproceedings{1d2d5f5a0ccd47dfb17796d0037dc934,
title = "Peer-to-peer Detection of DoS Attacks on City-Scale IoT Mesh Networks",
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.",
author = "Rausch, {Michael J.} and Krishna, {Varun Badrinath} and Peng Gu and Rupak Chandra and Brett Feddersen and Ahmed Fawaz and Sanders, {William H}",
year = "2018",
month = "12",
day = "24",
doi = "10.1109/SmartGridComm.2018.8587518",
language = "English (US)",
series = "2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018",
address = "United States",

}

TY - GEN

T1 - Peer-to-peer Detection of DoS Attacks on City-Scale IoT Mesh Networks

AU - Rausch, Michael J.

AU - Krishna, Varun Badrinath

AU - Gu, Peng

AU - Chandra, Rupak

AU - Feddersen, Brett

AU - Fawaz, Ahmed

AU - Sanders, William H

PY - 2018/12/24

Y1 - 2018/12/24

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85061059050&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061059050&partnerID=8YFLogxK

U2 - 10.1109/SmartGridComm.2018.8587518

DO - 10.1109/SmartGridComm.2018.8587518

M3 - Conference contribution

AN - SCOPUS:85061059050

T3 - 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018

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

PB - Institute of Electrical and Electronics Engineers Inc.

ER -