Electromagnetic Fingerprinting of Memory Heartbeats: System and Applications

Cheng SHEN, Jun HUANG*, Guangyu SUN, Jingshu CHEN

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

9 Citations (Scopus)

Abstract

This paper presents MemScope, a system that fingerprints devices via electromagnetic sensing of their memory heartbeats, i.e., the clock signal that synchronizes memory and memory controller. MemScope leverages the enhanced resolution and security of memory heartbeat fingerprint, which has enriched spectral features thanks to the spread spectrum generation of memory clock, and cannot be concealed as long as the device accesses its memory during computing. MemScope employs signal processing algorithms that allow it to hear the memory heartbeats of devices from a distance, in the presence of noise, and in crowded environments where multiple devices coexist. It then fingerprints memory heartbeats using machine learning tools. Measurements on a set of 65 devices over a month validate the robustness of fingerprint against time variation, and show a high precision and recall. We then use the neural network to build a detector to defend against possible replay attacks. Finally, we further demonstrate the effectiveness of MemScope in two application scenarios, (i) detecting wireless identity spoofing and (ii) identifying and localizing unauthorized hidden cameras.
Original languageEnglish
Article number138
JournalProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Volume6
Issue number3
DOIs
Publication statusPublished - Sept 2022

Research Keywords

  • device fingerprinting
  • electromagnetic radiation
  • side-channel

Fingerprint

Dive into the research topics of 'Electromagnetic Fingerprinting of Memory Heartbeats: System and Applications'. Together they form a unique fingerprint.

Cite this