VoIPLoc : passive VoIP call provenance using acoustic side-channels

Nagaraja, Shishir and Shah, Ryan (2021) VoIPLoc : passive VoIP call provenance using acoustic side-channels. In: 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks 2021, 2021-06-28 - 2021-07-02, Virtual Event. Hosted by New York University. (In Press)

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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.

ORCID iDs

Nagaraja, Shishir and Shah, Ryan ORCID logoORCID: https://orcid.org/0000-0003-1348-8423;
CORE (COnnecting REpositories)