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Verifying and Monitoring IoTs Network Behavior Using MUD Profiles

Published: 01 January 2022 Publication History

Abstract

IoT devices are increasingly being implicated in cyber-attacks, raising community concern about the risks they pose to critical infrastructure, corporations, and citizens. In order to reduce this risk, the IETF is pushing IoT vendors to develop formal specifications of the intended purpose of their IoT devices, in the form of a Manufacturer Usage Description (MUD), so that their network behavior in any operating environment can be locked down and verified rigorously. This article aims to assist IoT manufacturers in developing and verifying MUD profiles, while also helping adopters of these devices to ensure they are compatible with their organizational policies and track device network behavior using their MUD profile. Our first contribution is to develop a tool that takes the traffic trace of an arbitrary IoT device as input and automatically generates the MUD profile for it. We contribute our tool as open source, apply it to 28 consumer IoT devices, and highlight insights and challenges encountered in the process. Our second contribution is to apply a formal semantic framework that not only validates a given MUD profile for consistency, but also checks its compatibility with a given organizational policy. We apply our framework to representative organizations and selected devices, to demonstrate how MUD can reduce the effort needed for IoT acceptance testing. Finally, we show how operators can dynamically identify IoT devices using known MUD profiles and monitor their behavioral changes in their network.

Cited By

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  • (2024)SeIoT: Detecting Anomalous Semantics in Smart Homes via Knowledge GraphIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.342885619(7005-7018)Online publication date: 1-Jan-2024
  • (2023)Efficient IoT Traffic Inference: From Multi-view Classification to Progressive MonitoringACM Transactions on Internet of Things10.1145/36253065:1(1-30)Online publication date: 16-Dec-2023
  • (2023)Fine-Grained Flow Control Agent on Path MTU for IoT SoftwareProceedings of the 14th Asia-Pacific Symposium on Internetware10.1145/3609437.3609444(144-153)Online publication date: 4-Aug-2023
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      cover image IEEE Transactions on Dependable and Secure Computing
      IEEE Transactions on Dependable and Secure Computing  Volume 19, Issue 1
      Jan.-Feb. 2022
      716 pages

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      IEEE Computer Society Press

      Washington, DC, United States

      Publication History

      Published: 01 January 2022

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      View all
      • (2024)SeIoT: Detecting Anomalous Semantics in Smart Homes via Knowledge GraphIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.342885619(7005-7018)Online publication date: 1-Jan-2024
      • (2023)Efficient IoT Traffic Inference: From Multi-view Classification to Progressive MonitoringACM Transactions on Internet of Things10.1145/36253065:1(1-30)Online publication date: 16-Dec-2023
      • (2023)Fine-Grained Flow Control Agent on Path MTU for IoT SoftwareProceedings of the 14th Asia-Pacific Symposium on Internetware10.1145/3609437.3609444(144-153)Online publication date: 4-Aug-2023
      • (2023)Understanding Dark Patterns in Home IoT DevicesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581432(1-27)Online publication date: 19-Apr-2023
      • (2023)FeSA: Automatic Federated Swarm Attestation on Dynamic Large-Scale IoT DevicesIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.319310620:4(2954-2969)Online publication date: 1-Jul-2023

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