I See You: Using RF Signals to See Inside Manufacturing Processes

IEEE Security & Privacy 2026

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Authors: Oscar R. Hernandez, Bethanie Williams, Candan Martin, Clifton J. Mulkey, Gabriela Felicia Ciocarlie
DOI: 10.1109/msec.2026.3664008
Cited by: 0
References: 11

Abstract

We present a passive anomaly-detection framework for computer numerical control milling systems that captures naturally radiated radio frequency (RF) emissions from stepper and spindle motors. Results show RF spectral imaging enables scalable, cyber-resilient, trustworthy anomaly detection for Industry 4.0 manufacturingsystems.

Fields of Study & Subjects

Network Security and Intrusion Detection Security and Verification in Computing Smart Grid Security and Resilience

Publication details

Journal / source
IEEE Security & Privacy
Volume
24
Issue
3
Pages
21–30
Publication date
3 March 2026
Language
EN