Your Noise, My Signal: Exploiting Switching Noise for Stealthy Data Exfiltration from Desktop Computers
Zhihui Shao, Mohammad A. Islam, and Shaolei Ren

TL;DR
This paper introduces NoDE, a stealthy data exfiltration method exploiting high-frequency voltage ripples from computers' power supplies, enabling covert communication over power lines from a distance without intrusive measurement.
Contribution
NoDE is the first system to use high-frequency switching noise for covert data exfiltration from desktop computers over power networks, demonstrating high data rates and multi-device exfiltration.
Findings
Achieves up to 28.48 bits/second data rate at 90 feet distance.
Supports simultaneous exfiltration from four computers.
Effective across different computer models and power supplies.
Abstract
Attacks based on power analysis have been long existing and studied, with some recent works focused on data exfiltration from victim systems without using conventional communications (e.g., WiFi). Nonetheless, prior works typically rely on intrusive direct power measurement, either by implanting meters in the power outlet or tapping into the power cable, thus jeopardizing the stealthiness of attacks. In this paper, we propose NoDE (Noise for Data Exfiltration), a new system for stealthy data exfiltration from enterprise desktop computers. Specifically, NoDE achieves data exfiltration over a building's power network by exploiting high-frequency voltage ripples (i.e., switching noises) generated by power factor correction circuits built into today's computers. Located at a distance and even from a different room, the receiver can non-intrusively measure the voltage of a power outlet to…
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Taxonomy
TopicsPhysical Unclonable Functions (PUFs) and Hardware Security · Advanced Malware Detection Techniques · Cryptographic Implementations and Security
