One MUD to Rule Them All: IoT Location Impact

Anat Bremler-Barr, Bar Meyuhas, Ran Shister

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Analyzing the network behavior of IoT devices, including which domains, protocols, and ports the device communicates with, is a fundamental challenge for IoT security and identification. Solutions that analyze and manage these areas must be able to learn what constitutes normal device behavior and then extract rules and features to permit only legitimate behavior or identify the device. The Manufacturer Usage Description (MUD) is an IETF white-list protection scheme that formalizes the authorized network behavior in a MUD file; this MUD file can then be used as a type of firewall mechanism.We demonstrate that learning what is normal behavior for an IoT device is more challenging than expected. In many cases, the same IoT device, with the same firmware, can exhibit different behavior or connect to different domains with different protocols, depending on the device's geographical location.We analyze and explain use-cases in which the location impacts device behavior. Then, we present a technique to generalize MUD files. By processing MUD files that originate in different locations, we can generalize and create a comprehensive MUD file that is applicable for all locations. To conduct the research, we created MUDIS, a MUD Inspection System tool, that compares and generalizes MUD files. Our open-source MUDIS tool and dataset are available online to researchers and IoT manufacturers, allowing anyone to visualize, compare, and generalize MUD files.

Original languageEnglish
Title of host publicationProceedings of the IEEE/IFIP Network Operations and Management Symposium 2022
Subtitle of host publicationNetwork and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022
EditorsPal Varga, Lisandro Zambenedetti Granville, Alex Galis, Istvan Godor, Noura Limam, Prosper Chemouil, Jerome Francois, Marc-Oliver Pahl
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665406017
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022 - Budapest, Hungary
Duration: 25 Apr 202229 Apr 2022

Publication series

NameProceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022

Conference

Conference2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022
Country/TerritoryHungary
CityBudapest
Period25/04/2229/04/22

All Science Journal Classification (ASJC) codes

  • Management of Technology and Innovation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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