Projects per year
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.
|Title of host publication||WiSec 2021 - Proceedings of the 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks|
|Place of Publication||New York|
|Number of pages||12|
|Publication status||Published - 21 Jun 2021|
|Event||14th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2021 - Virtual, Online, United Arab Emirates|
Duration: 28 Jun 2021 → 2 Jul 2021
|Conference||14th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2021|
|Country/Territory||United Arab Emirates|
|Period||28/06/21 → 2/07/21|
- acoustic fingerprint
- call provenance
- location privacy
- source identification
- VoIP security
FingerprintDive into the research topics of 'VoIPLoc: passive VoIP call provenance via acoustic side-channels'. Together they form a unique fingerprint.
- 1 Finished
Industrial CASE Account - University of Strathclyde 2017 | Shah, Ryan
Nagaraja, S., Revie, C., Ahmed, C. M., Weir, G. & Shah, R.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/18 → 15/02/23
Project: Research Studentship Case - Internally allocated