Projects per year
We develop a novel technique to determine call provenance in anonymous VoIP communications using acoustic side-channels. The technique exploits location-attributable information embedded within audio speech data. The victim’s speech is exploited as an excitation signal, which is modulated (acted upon) by the acoustic reflection characteristics of the victim’s location. We show that leading VoIP communication channels faithfully transfer this information between sender-receiver pairs, enabling passive receivers to extract a location fingerprint, to establish call provenance. To establish provenance, a fingerprint is compared against a database of labelled fingerprints to identify a match. The technique is fully passive and does not depend on any characteristic background sounds, is speaker independent, and is robust to lossy network conditions. Evaluation using a corpus of recordings of VoIP conversations, over the Tor network, confirms that recording locations can be fingerprinted and detected remotely with low false-positive rate.
|Publication status||Submitted - 31 Jul 2019|
|Event||IEEE Security and Privacy 2020 - San Francisco, United States|
Duration: 18 May 2020 → 20 May 2020
Conference number: 41
|Conference||IEEE Security and Privacy 2020|
|Period||18/05/20 → 20/05/20|
- voice over IP
- anonymous communication channels
- audio segmentation
FingerprintDive into the research topics of 'VoipLoc: VoIP call provenance using 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