IoTScanner: Detecting privacy threats in IoT neighborhoods

Sandra Siby, Rajib Ranjan Maiti, Nils Ole Tippenhauer

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

Abstract

In the context of the emerging Internet of Things (IoT), a proliferation of wireless connectivity can be expected. That ubiquitous wireless communication will be hard to centrally manage and control, and can be expected to be opaque to end users. As a result, owners and users of physical space are threatened to lose control over their digital environments. In this work, we propose the idea of an IoTScanner. The IoTScanner integrates a range of radios to allow local reconnaissance of existing wireless infrastructure and participating nodes. It enumerates such devices, identifies connection patterns, and provides valuable insights for technical support and home users alike. Using our IoTScanner, we investigate metrics that could be used to classify devices and identify privacy threats in an IoT neighborhood.

Original languageEnglish (US)
Title of host publicationIoTPTS 2017 - Proceedings of the 3rd ACM International Workshop on IoT Privacy, Trust, and Security, co-located with ASIA CCS 2017
PublisherAssociation for Computing Machinery, Inc
Pages23-30
Number of pages8
ISBN (Electronic)9781450349697
DOIs
StatePublished - Apr 2 2017
Event3rd ACM International Workshop on IoT Privacy, Trust, and Security, IoTPTS 2017 - Abu Dhabi, United Arab Emirates
Duration: Apr 2 2017 → …

Publication series

NameIoTPTS 2017 - Proceedings of the 3rd ACM International Workshop on IoT Privacy, Trust, and Security, co-located with ASIA CCS 2017

Other

Other3rd ACM International Workshop on IoT Privacy, Trust, and Security, IoTPTS 2017
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period4/2/17 → …

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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