I'm listening to your location! inferring user location with acoustic side channels

Youngbae Jeon, Minchul Kim, Hyunsoo Kim, Hyoungshick Kim, Jun Ho Huh, Ji Won Yoon

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

4 Citations (Scopus)

Abstract

Electrical network frequency (ENF) signals have common patterns that can be used as signatures for identifying recorded time and location of videos and sound. To enable cost-efficient, reliable and scalable location inference, we created a reference map of ENF signals representing hundreds of locations world wide - extracting real-world ENF signals from online multimedia streaming services (e.g., YouTube and Explore). Based on this reference map of ENF signals, we propose a novel side-channel attack that can identify the physical location of where a target video or sound was recorded or streamed from. Our attack does not require any expensive ENF signal receiver nor any software to be installed on a victim»s device - all we need is the recorded video or sound files to perform the attack and they are collected from world wide web. The evaluation results show that our attack can infer the intra-grid location of the recorded audio files with an accuracy of $76$% when those files are $5$ minutes or longer. We also showed that our proposed attack works well even when video and audio data are processed within a certain distortion range with audio codecs used in real VoIP applications.

Original languageEnglish
Title of host publicationThe Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018
PublisherAssociation for Computing Machinery, Inc
Pages339-348
Number of pages10
ISBN (Electronic)9781450356398
DOIs
Publication statusPublished - 2018 Apr 10
Event27th International World Wide Web, WWW 2018 - Lyon, France
Duration: 2018 Apr 232018 Apr 27

Publication series

NameThe Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018

Conference

Conference27th International World Wide Web, WWW 2018
Country/TerritoryFrance
CityLyon
Period18/4/2318/4/27

Keywords

  • Electrical network frequency
  • Location tracking
  • Side channel analysis

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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