Cleartext data transmissions in consumer IoT medical devices

Daniel Wood, Noah Apthorpe, Nick Feamster

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

19 Scopus citations

Abstract

This paper introduces a method to capture network traffic from medical IoT devices and automatically detect cleartext information that may reveal sensitive medical conditions and behaviors. The research follows a three-step approach involving traffic collection, cleartext detection, and metadata analysis.We analyze four popular consumer medical IoT devices, including one smart medical device that leaks sensitive health information in cleartext.We also present a traffic capture and analysis system that seamlessly integrates with a home network and offers a user-friendly interface for consumers to monitor and visualize data transmissions of IoT devices in their homes.

Original languageEnglish (US)
Title of host publicationIoT S and P 2017 - Proceedings of the 2017 Workshop on Internet of Things Security and Privacy, co-located with CCS 2017
PublisherAssociation for Computing Machinery, Inc
Pages7-12
Number of pages6
ISBN (Electronic)9781450353960
DOIs
StatePublished - Nov 3 2017
Event1st Workshop on Internet of Things Security and Privacy, IoT S and P 201717 - Dallas, United States
Duration: Nov 3 2017 → …

Publication series

NameIoT S and P 2017 - Proceedings of the 2017 Workshop on Internet of Things Security and Privacy, co-located with CCS 2017

Other

Other1st Workshop on Internet of Things Security and Privacy, IoT S and P 201717
CountryUnited States
CityDallas
Period11/3/17 → …

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Keywords

  • Internet of Things
  • Medical devices
  • Personal health information
  • Privacy

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