Tracking without Seeing: Geospatial Inference using Encrypted Traffic from Distributed Nodes

ArXi:2603.27811v1 Announce Type: cross Accurate observation of dynamic environments traditionally relies on synthesizing raw, signal-level information from multiple distributed sensors. This work investigates an alternative approach: performing geospatial inference using only encrypted packet-level information, without access to the raw sensory data. We further explore how this indirect information can be fused with directly available sensory data to extend overall inference capabilities. We.