Protecting Home Networks from Insecure IoT Devices

Elmer Lastdrager, Cristian Hesselman, Jelte Jansen, Marco Davids

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

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Abstract

We present our ongoing work on SPIN, a muchneeded open source measurement platform that enables researchers and other users to easily analyze the security features of devices in the "Internet of Things" (IoT), specifically in-home networks. SPIN accomplishes this by mapping and enhancing network-level measurements in the home network and by making them available through a well-defined interface. This enables all kinds of new applications for research and commercial purposes, such as privacy managers for consumers that visualize insecure IoT devices and their connections, and new algorithms that automatically block botnet traffic to protect the public Internet against IoT-powered DDoS attacks. SPIN is a flexible distributed system that runs in the home network and that keeps users in control. We have validated SPIN in our lab through prototype implementations.

Original languageEnglish
Title of host publicationProceedings of IEEE/IFIP Network Operations and Management Symposium 2020
Subtitle of host publicationManagement in the Age of Softwarization and Artificial Intelligence, NOMS 2020
PublisherIEEE
ISBN (Electronic)9781728149738
DOIs
Publication statusPublished - Apr 2020
Event17th IEEE/IFIP Network Operations and Management Symposium, NOMS 2020: Management in the Age of Softwarization and Artificial Intelligence - Virtual conference, Budapest, Hungary
Duration: 20 Apr 202024 Apr 2020
Conference number: 17
https://noms2020.ieee-noms.org/ (Conference)

Conference

Conference17th IEEE/IFIP Network Operations and Management Symposium, NOMS 2020
Abbreviated titleNOMS
Country/TerritoryHungary
CityBudapest
Period20/04/2024/04/20
Internet address

Keywords

  • Home Networks
  • Internet of Things
  • Measurements
  • Privacy
  • Security

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