VoIPLoc: passive VoIP call provenance via acoustic side-channels

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

Abstract

We propose VoIPLoc, a novel location fingerprinting technique and apply it to the VoIP call provenance problem. It exploits echo-location information embedded within VoIP audio to support fine-grained location inference. We found consistent statistical features induced by the echo-reflection characteristics of the location into recorded speech. These features are discernible within traces received at the VoIP destination, enabling location inference. We evaluated VoIPLoc by developing a dataset of audio traces received through VoIP channels over the Tor network. We show that recording locations can be fingerprinted and detected remotely with a low false-positive rate, even when a majority of the audio samples are unlabelled. Finally, we note that the technique is fully passive and thus undetectable, unlike prior art. VoIPLoc is robust to the impact of environmental noise and background sounds, as well as the impact of compressive codecs and network jitter. The technique is also highly scalable and offers several degrees of freedom terms of the fingerprintable space.

Original languageEnglish
Title of host publicationWiSec 2021 - Proceedings of the 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks
Place of PublicationNew York
Pages323-334
Number of pages12
ISBN (Electronic)9781450383493
DOIs
Publication statusPublished - 21 Jun 2021
Event14th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2021 - Virtual, Online, United Arab Emirates
Duration: 28 Jun 20212 Jul 2021

Conference

Conference14th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2021
Country/TerritoryUnited Arab Emirates
CityVirtual, Online
Period28/06/212/07/21

Keywords

  • acoustic fingerprint
  • call provenance
  • location privacy
  • source identification
  • VoIP security

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